Merge branch 'master' of github.com:papayalove/Magic-PDF

.github/workflows/cli.yml

+# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
+# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python
+
+name: PDF
+on:
+  push:
+    branches:
+      - "master"
+    paths-ignore:
+      - "cmds/**"
+      - "**.md"
+  pull_request:
+    branches:
+      - "master"
+    paths-ignore:
+      - "cmds/**"
+      - "**.md"
+  workflow_dispatch:
+jobs:
+  cli-test:
+    runs-on: pdf
+    timeout-minutes: 40
+    strategy:
+      fail-fast: true
+
+    steps:
+    - name: config-net
+      run: |
+        export http_proxy=http://bigdata_open_proxy:H89k5qwQRDYfz@10.140.90.20:10811
+        export https_proxy=http://bigdata_open_proxy:H89k5qwQRDYfz@10.140.90.20:10811
+    - name: PDF cli
+      uses: actions/checkout@v3
+      with:
+        fetch-depth: 2
+    - name: check-requirements
+      run: |
+        changed_files=$(git diff --name-only -r HEAD~1 HEAD)
+        echo $changed_files
+        if [[ $changed_files =~ "requirements.txt" ]]; then
+          pip install -r requirements.txt
+        fi
+
+    - name: config-net-reset
+      run: |
+        export http_proxy=""
+        export https_proxy=""
+    - name: test_cli
+      run: |
+        echo $GITHUB_WORKSPACE
+        cd $GITHUB_WORKSPACE && pytest -s -v tests/test_cli/test_cli.py
+
+                                                                                                                            
+  notify_to_feishu:
+    if: ${{ always() && !cancelled() && contains(needs.*.result, 'failure') && (github.ref_name == 'master') }}
+    needs: [cli-test]
+    runs-on: pdf
+    steps:
+    - name: get_actor
+      run: |
+          metion_list="quyuan"
+          echo $GITHUB_ACTOR
+          if [[ $GITHUB_ACTOR == "drunkpig" ]]; then
+            metion_list="xuchao"
+          elif [[ $GITHUB_ACTOR == "myhloli" ]]; then
+            metion_list="zhaoxiaomeng"
+          elif [[ $GITHUB_ACTOR == "icecraft" ]]; then
+            metion_list="xurui1"
+          fi
+          echo $metion_list
+          echo "METIONS=$metion_list" >> "$GITHUB_ENV"
+          echo ${{ env.METIONS }}
+
+    - name: notify
+      run: |
+        curl  ${{ secrets.WEBHOOK_URL }} -H 'Content-Type: application/json'  -d '{
+        "msgtype": "text",
+        "text": {
+            "mentioned_list": ["${{ env.METIONS }}"] , "content": "'${{ github.repository }}' GitHubAction Failed!\n 细节请查看：https://github.com/'${{ github.repository }}'/actions/runs/'${GITHUB_RUN_ID}'"
+        } 
+        }'     
\ No newline at end of file

magic_pdf/dict2md/ocr_mkcontent.py

@@ -95,7 +95,7 @@ def ocr_mk_markdown_with_para_core_v2(paras_of_layout, mode, img_buket_path=""):
     page_markdown = []
     for para_block in paras_of_layout:
         para_text = ''
-        para_type = para_block.get('type')
+        para_type = para_block['type']
         if para_type == BlockType.Text:
             para_text = merge_para_with_text(para_block)
         elif para_type == BlockType.Title:
@@ -106,32 +106,30 @@ def ocr_mk_markdown_with_para_core_v2(paras_of_layout, mode, img_buket_path=""):
             if mode == 'nlp':
                 continue
             elif mode == 'mm':
-                img_blocks = para_block.get('blocks')
-                for img_block in img_blocks:
-                    if img_block.get('type') == BlockType.ImageBody:
-                        for line in img_block.get('lines'):
+                for block in para_block['blocks']:
+                    if block['type'] == BlockType.ImageBody:
+                        for line in block['lines']:
                             for span in line['spans']:
-                                if span.get('type') == ContentType.Image:
+                                if span['type'] == ContentType.Image:
                                     para_text = f"\n![]({join_path(img_buket_path, span['image_path'])})\n"
-                for img_block in img_blocks:
-                    if img_block.get('type') == BlockType.ImageCaption:
-                        para_text += merge_para_with_text(img_block)
+                for block in para_block['blocks']:
+                    if block['type'] == BlockType.ImageCaption:
+                        para_text += merge_para_with_text(block)
         elif para_type == BlockType.Table:
             if mode == 'nlp':
                 continue
             elif mode == 'mm':
-                table_blocks = para_block.get('blocks')
-                for table_block in table_blocks:
-                    if table_block.get('type') == BlockType.TableBody:
-                        for line in table_block.get('lines'):
+                for block in para_block['blocks']:
+                    if block['type'] == BlockType.TableBody:
+                        for line in block['lines']:
                             for span in line['spans']:
-                                if span.get('type') == ContentType.Table:
+                                if span['type'] == ContentType.Table:
                                     para_text = f"\n![]({join_path(img_buket_path, span['image_path'])})\n"
-                for table_block in table_blocks:
-                    if table_block.get('type') == BlockType.TableCaption:
-                        para_text += merge_para_with_text(table_block)
-                    elif table_block.get('type') == BlockType.TableFootnote:
-                        para_text += merge_para_with_text(table_block)
+                for block in para_block['blocks']:
+                    if block['type'] == BlockType.TableCaption:
+                        para_text += merge_para_with_text(block)
+                    elif block['type'] == BlockType.TableFootnote:
+                        para_text += merge_para_with_text(block)
 
         if para_text.strip() == '':
             continue
@@ -141,11 +139,11 @@ def ocr_mk_markdown_with_para_core_v2(paras_of_layout, mode, img_buket_path=""):
     return page_markdown
 
 
-def merge_para_with_text(para):
+def merge_para_with_text(para_block):
     para_text = ''
-    for line in para['lines']:
+    for line in para_block['lines']:
         for span in line['spans']:
-            span_type = span.get('type')
+            span_type = span['type']
             content = ''
             language = ''
             if span_type == ContentType.Text:
@@ -159,6 +157,7 @@ def merge_para_with_text(para):
                 content = f"${span['content']}$"
             elif span_type == ContentType.InterlineEquation:
                 content = f"\n$$\n{span['content']}\n$$\n"
+
             if content != '':
                 if language == 'en':  # 英文语境下 content间需要空格分隔
                     para_text += content + ' '

magic_pdf/libs/draw_bbox.py

@@ -132,7 +132,7 @@ def draw_layout_bbox(pdf_info, pdf_bytes, out_path):
     pdf_docs = fitz.open("pdf", pdf_bytes)
     for i, page in enumerate(pdf_docs):
         draw_bbox_with_number(i, layout_bbox_list, page, [255, 0, 0], False)
-        draw_bbox_without_number(i, dropped_bbox_list, page, [0, 255, 0], True)
+        draw_bbox_without_number(i, dropped_bbox_list, page, [158, 158, 158], True)
         draw_bbox_without_number(i, tables_list, page, [153, 153, 0], True)  # color !
         draw_bbox_without_number(i, tables_body_list, page, [204, 204, 0], True)
         draw_bbox_without_number(i, tables_caption_list, page, [255, 255, 102], True)
@@ -142,7 +142,7 @@ def draw_layout_bbox(pdf_info, pdf_bytes, out_path):
         draw_bbox_without_number(i, imgs_caption_list, page, [102, 178, 255], True)
         draw_bbox_without_number(i, titles_list, page, [102, 102, 255], True)
         draw_bbox_without_number(i, texts_list, page, [153, 0, 76], True)
-        draw_bbox_without_number(i, interequations_list, page, [160, 160, 160], True)
+        draw_bbox_without_number(i, interequations_list, page, [0, 255, 0], True)
 
     # Save the PDF
     pdf_docs.save(f"{out_path}/layout.pdf")

magic_pdf/pdf_parse_by_ocr_v2.py

@@ -61,7 +61,7 @@ def parse_pdf_by_ocr(pdf_bytes,
         '''将所有区块的bbox整理到一起'''
         all_bboxes = ocr_prepare_bboxes_for_layout_split(
             img_blocks, table_blocks, discarded_blocks, text_blocks, title_blocks,
-            interline_equation_blocks, page_w, page_h)
+            interline_equations, page_w, page_h)
 
         '''根据区块信息计算layout'''
         page_boundry = [0, 0, page_w, page_h]

magic_pdf/pre_proc/ocr_detect_all_bboxes.py

@@ -57,8 +57,8 @@ def fix_text_overlap_title_blocks(all_bboxes):
 
     for text_block in text_blocks:
         for title_block in title_blocks:
-            text_block_bbox = text_block[0], text_block[1], text_block[2], text_block[3]
-            title_block_bbox = title_block[0], title_block[1], title_block[2], title_block[3]
+            text_block_bbox = text_block[:4]
+            title_block_bbox = title_block[:4]
             if calculate_iou(text_block_bbox, title_block_bbox) > 0.8:
                 all_bboxes.remove(title_block)
 
@@ -66,27 +66,37 @@ def fix_text_overlap_title_blocks(all_bboxes):
 
 
 def remove_need_drop_blocks(all_bboxes, discarded_blocks):
-    for block in all_bboxes.copy():
+    need_remove = []
+    for block in all_bboxes:
         for discarded_block in discarded_blocks:
-            block_bbox = block[0], block[1], block[2], block[3]
+            block_bbox = block[:4]
             if calculate_overlap_area_in_bbox1_area_ratio(block_bbox, discarded_block['bbox']) > 0.6:
+                if block not in need_remove:
+                    need_remove.append(block)
+                    break
+
+    if len(need_remove) > 0:
+        for block in need_remove:
             all_bboxes.remove(block)
     return all_bboxes
 
 
 def remove_overlaps_min_blocks(all_bboxes):
     #  删除重叠blocks中较小的那些
-    for block1 in all_bboxes.copy():
-        for block2 in all_bboxes.copy():
+    need_remove = []
+    for block1 in all_bboxes:
+        for block2 in all_bboxes:
             if block1 != block2:
-                block1_bbox = [block1[0], block1[1], block1[2], block1[3]]
-                block2_bbox = [block2[0], block2[1], block2[2], block2[3]]
+                block1_bbox = block1[:4]
+                block2_bbox = block2[:4]
                 overlap_box = get_minbox_if_overlap_by_ratio(block1_bbox, block2_bbox, 0.8)
                 if overlap_box is not None:
-                    bbox_to_remove = next(
-                        (block for block in all_bboxes if [block[0], block[1], block[2], block[3]] == overlap_box),
-                        None)
-                    if bbox_to_remove is not None:
-                        all_bboxes.remove(bbox_to_remove)
+                    bbox_to_remove = next((block for block in all_bboxes if block[:4] == overlap_box), None)
+                    if bbox_to_remove is not None and bbox_to_remove not in need_remove:
+                        need_remove.append(bbox_to_remove)
+
+    if len(need_remove) > 0:
+        for block in need_remove:
+            all_bboxes.remove(block)
 
     return all_bboxes

magic_pdf/pre_proc/ocr_span_list_modify.py

@@ -9,16 +9,20 @@ from magic_pdf.libs.ocr_content_type import ContentType, BlockType
 def remove_overlaps_min_spans(spans):
     dropped_spans = []
     #  删除重叠spans中较小的那些
-    for span1 in spans.copy():
-        for span2 in spans.copy():
+    for span1 in spans:
+        for span2 in spans:
             if span1 != span2:
                 overlap_box = get_minbox_if_overlap_by_ratio(span1['bbox'], span2['bbox'], 0.65)
                 if overlap_box is not None:
-                    bbox_to_remove = next((span for span in spans if span['bbox'] == overlap_box), None)
-                    if bbox_to_remove is not None:
-                        spans.remove(bbox_to_remove)
-                        bbox_to_remove['tag'] = DropTag.SPAN_OVERLAP
-                        dropped_spans.append(bbox_to_remove)
+                    span_need_remove = next((span for span in spans if span['bbox'] == overlap_box), None)
+                    if span_need_remove is not None and span_need_remove not in dropped_spans:
+                        dropped_spans.append(span_need_remove)
+
+    if len(dropped_spans) > 0:
+        for span_need_remove in dropped_spans:
+            spans.remove(span_need_remove)
+            span_need_remove['tag'] = DropTag.SPAN_OVERLAP
+
     return spans, dropped_spans
 
 
@@ -29,9 +33,11 @@ def remove_spans_by_bboxes(spans, need_remove_spans_bboxes):
     for span in spans:
         for removed_bbox in need_remove_spans_bboxes:
             if calculate_overlap_area_in_bbox1_area_ratio(span['bbox'], removed_bbox) > 0.5:
+                if span not in need_remove_spans:
                     need_remove_spans.append(span)
                     break
 
+    if len(need_remove_spans) > 0:
         for span in need_remove_spans:
             spans.remove(span)
 

magic_pdf/user_api.py

@@ -74,7 +74,7 @@ def parse_union_pdf(pdf_bytes: bytes, pdf_models: list, imageWriter: AbsReaderWr
                 debug_mode=is_debug,
             )
         except Exception as e:
-            logger.error(f"{method.__name__} error: {e}")
+            logger.exception(e)
             return None
 
     pdf_info_dict = parse_pdf(parse_pdf_by_txt)

requirements.txt

@@ -17,4 +17,6 @@ zh_core_web_sm @ https://github.com/explosion/spacy-models/releases/download/zh_
 scikit-learn>=1.0.2
 nltk==3.8.1
 s3pathlib>=2.1.1
+pytest
+subprocess
 

tests/test_cli/conf/conf.py

+import os
+conf = {
+"code_path": os.environ.get('GITHUB_WORKSPACE'),
+"pdf_dev_path" : os.environ.get('GITHUB_WORKSPACE') + "/tests/test_cli/pdf_dev",
+"pdf_res_path": "/home/quyuan/code/Magic-PDF/Magic-PDF/Magic-PDF/data"
+
+}
+

tests/test_cli/lib/common.py

+import subprocess
+def check_shell(cmd):
+    res = subprocess.check_output(cmd, shell=True)
+    assert res == 0
+
+def count_folders_and_check_contents(directory):
+    # 获取目录下的所有文件和文件夹
+    contents = os.listdir(directory)
+    folder_count = 0
+    for item in contents:
+        # 检查是否为文件夹
+        if os.path.isdir(os.path.join(directory, item)):
+            folder_count += 1
+            # 检查文件夹是否为空
+            folder_path = os.path.join(directory, item)
+            assert os.listdir(folder_path) is not None
+    assert folder_count == 3 

tests/test_cli/pdf_dev/14a75ee1-b88a-4fe7-bb10-62cbfabbfdec.html.json

+[{"layout_dets": [{"category_id": 1, "poly": [89.961181640625, 2073.461669921875, 239.52061462402344, 2073.461669921875, 239.52061462402344, 2100.894775390625, 89.961181640625, 2100.894775390625], "score": 0.9999998807907104}, {"category_id": 2, "poly": [87.26616668701172, 74.82184600830078, 198.9960174560547, 74.82184600830078, 198.9960174560547, 186.6465301513672, 87.26616668701172, 186.6465301513672], "score": 0.9999980926513672}, {"category_id": 1, "poly": [85.48170471191406, 1983.3211669921875, 640.0853271484375, 1983.3211669921875, 640.0853271484375, 2057.33544921875, 85.48170471191406, 2057.33544921875], "score": 0.9999932050704956}, {"category_id": 1, "poly": [116.85928344726562, 1038.5179443359375, 403.7896423339844, 1038.5179443359375, 403.7896423339844, 1968.594970703125, 116.85928344726562, 1968.594970703125], "score": 0.9999915361404419}, {"category_id": 1, "poly": [118.67247009277344, 409.9633483886719, 246.474365234375, 409.9633483886719, 246.474365234375, 497.0032043457031, 118.67247009277344, 497.0032043457031], "score": 0.9999160766601562}, {"category_id": 1, "poly": [530.4315795898438, 991.8529052734375, 656.2960205078125, 991.8529052734375, 656.2960205078125, 1020.6166381835938, 530.4315795898438, 1020.6166381835938], "score": 0.9999150037765503}, {"category_id": 3, "poly": [88.1304702758789, 515.3963623046875, 1570.892333984375, 515.3963623046875, 1570.892333984375, 770.7802734375, 88.1304702758789, 770.7802734375], "score": 0.9945680499076843}, {"category_id": 1, "poly": [86.13500213623047, 2196.494140625, 709.7125244140625, 2196.494140625, 709.7125244140625, 2233.120361328125, 86.13500213623047, 2233.120361328125], "score": 0.9834498167037964}, {"category_id": 4, "poly": [89.66381072998047, 769.3086547851562, 604.8513793945312, 769.3086547851562, 604.8513793945312, 797.379638671875, 89.66381072998047, 797.379638671875], "score": 0.9638957977294922}, {"category_id": 1, "poly": [89.76014709472656, 355.5078125, 375.1806335449219, 355.5078125, 375.1806335449219, 385.1385803222656, 89.76014709472656, 385.1385803222656], "score": 0.9307346343994141}, {"category_id": 1, "poly": [88.51095581054688, 2130.6494140625, 1437.851806640625, 2130.6494140625, 1437.851806640625, 2170.198974609375, 88.51095581054688, 2170.198974609375], "score": 0.9123905897140503}, {"category_id": 2, "poly": [85.1264419555664, 2130.3125, 1436.6295166015625, 2130.3125, 1436.6295166015625, 2170.202880859375, 85.1264419555664, 2170.202880859375], "score": 0.40837574005126953}, {"category_id": 0, "poly": [84.86500549316406, 2130.254150390625, 1435.5068359375, 2130.254150390625, 1435.5068359375, 2170.0830078125, 84.86500549316406, 2170.0830078125], "score": 0.29840898513793945}, {"category_id": 2, "poly": [89.92295837402344, 355.66754150390625, 373.9532775878906, 355.66754150390625, 373.9532775878906, 385.2264099121094, 89.92295837402344, 385.2264099121094], "score": 0.27608123421669006}, {"category_id": 15, "poly": [349.0, 319.0, 376.0, 319.0, 376.0, 339.0, 349.0, 339.0], "score": 0.99, "text": "Go"}, {"category_id": 15, "poly": [143.0, 412.0, 207.0, 412.0, 207.0, 439.0, 143.0, 439.0], "score": 1.0, "text": "Home"}, {"category_id": 15, "poly": [140.0, 436.0, 226.0, 436.0, 226.0, 470.0, 140.0, 470.0], "score": 0.89, "text": " Journals"}, {"category_id": 15, "poly": [138.0, 465.0, 239.0, 465.0, 239.0, 499.0, 138.0, 499.0], "score": 1.0, "text": "About Us"}, {"category_id": 15, "poly": [529.0, 994.0, 654.0, 994.0, 654.0, 1021.0, 529.0, 1021.0], "score": 1.0, "text": "Journal Menu"}, {"category_id": 15, "poly": [140.0, 1045.0, 320.0, 1045.0, 320.0, 1072.0, 140.0, 1072.0], "score": 0.95, "text": " About this Journal \u00b7"}, {"category_id": 15, "poly": [138.0, 1069.0, 382.0, 1075.0, 381.0, 1109.0, 137.0, 1103.0], "score": 0.99, "text": "Abstracting and Indexing \u00b7"}, {"category_id": 15, "poly": [143.0, 1106.0, 310.0, 1106.0, 310.0, 1133.0, 143.0, 1133.0], "score": 0.99, "text": "Advance Access \u00b7"}, {"category_id": 15, 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Program in Engineering Science, Chung Hua University, Hsinchu 30012, Taiwan"}, {"category_id": 15, "poly": [86.0, 149.0, 962.0, 154.0, 962.0, 188.0, 86.0, 183.0], "score": 0.98, "text": "3Department of Applied Mathematics, National Sun Yat-sen University, Kaohsiung 80424, Taiwan "}, {"category_id": 15, "poly": [91.0, 185.0, 1080.0, 185.0, 1080.0, 219.0, 91.0, 219.0], "score": 0.99, "text": "4Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung 80424, Taiwan"}, {"category_id": 15, "poly": [89.0, 239.0, 777.0, 239.0, 777.0, 270.0, 89.0, 270.0], "score": 1.0, "text": "Received 18 May 2013; Revised 26 August 2013; Accepted 29 August 2013"}, {"category_id": 15, "poly": [89.0, 287.0, 445.0, 290.0, 445.0, 324.0, 88.0, 322.0], "score": 0.98, "text": "Academic Editor: Rodrigo Lopez Pouso"}, {"category_id": 15, "poly": [89.0, 373.0, 876.0, 373.0, 876.0, 404.0, 89.0, 404.0], "score": 0.99, "text": "distribution, and reproduction in any medium, provided the original work is properly cited."}, {"category_id": 15, "poly": [91.0, 434.0, 280.0, 434.0, 280.0, 463.0, 91.0, 463.0], "score": 0.99, "text": "Linked References"}, {"category_id": 15, "poly": [116.0, 490.0, 1513.0, 490.0, 1513.0, 524.0, 116.0, 524.0], "score": 0.98, "text": "1. 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317.0, 1018.0, 351.0, 91.0, 351.0], "score": 0.98, "text": "unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited."}, {"category_id": 15, "poly": [91.0, 380.0, 280.0, 380.0, 280.0, 409.0, 91.0, 409.0], "score": 0.99, "text": "Linked References"}, {"category_id": 15, "poly": [116.0, 436.0, 1515.0, 436.0, 1515.0, 468.0, 116.0, 468.0], "score": 0.97, "text": "1. 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[91.0, 205.0, 849.0, 207.0, 849.0, 241.0, 91.0, 239.0], "score": 0.98, "text": "1School of Biomedical Engineering, Capital Medical University, Beijing 100069, China"}, {"category_id": 15, "poly": [86.0, 239.0, 871.0, 241.0, 871.0, 275.0, 86.0, 273.0], "score": 0.97, "text": "2Beijing Tongren Hospital Afflated to Capital Medical University, Bejing 100730, China"}, {"category_id": 15, "poly": [89.0, 295.0, 566.0, 295.0, 566.0, 326.0, 89.0, 326.0], "score": 1.0, "text": "Received 21 December 2012; Accepted 2 June 2013"}, {"category_id": 15, "poly": [89.0, 343.0, 396.0, 346.0, 396.0, 380.0, 88.0, 378.0], "score": 1.0, "text": "Academic Editor: Wenxiang Cong"}, {"category_id": 15, "poly": [89.0, 429.0, 765.0, 429.0, 765.0, 460.0, 89.0, 460.0], "score": 0.99, "text": "and reproduction in any medium, provided the original work is properly cited."}, {"category_id": 15, "poly": [93.0, 490.0, 180.0, 490.0, 180.0, 517.0, 93.0, 517.0], "score": 1.0, "text": "Abstract"}, {"category_id": 15, "poly": [89.0, 546.0, 1500.0, 546.0, 1500.0, 577.0, 89.0, 577.0], "score": 0.98, "text": "The tilt and decentration of intraocular lens (IOL) result in defocussing, astigmatism, and wavefront aberration after operation. The objective is to give a method to"}, {"category_id": 15, "poly": [89.0, 575.0, 1518.0, 575.0, 1518.0, 607.0, 89.0, 607.0], "score": 0.97, "text": "estimate the tit and decentration ofIOL more accurately. Based on AS-OCT images of twelve eyes fromeight cases with subluxation lens afer operation, we fitted"}, {"category_id": 15, "poly": [89.0, 604.0, 1552.0, 604.0, 1552.0, 636.0, 89.0, 636.0], "score": 0.98, "text": "spherical equation to the data obtained from the images of the anterior and posterior surfaces ofthe IOL. By the established relationship between IOL tit (decentration)"}, {"category_id": 15, "poly": [89.0, 633.0, 1557.0, 633.0, 1557.0, 665.0, 89.0, 665.0], "score": 0.98, "text": "and the scanned angle, at which a piece ofAS-OCT image was taken by the instrument, the IOL tilt and decentration were calculated. IOL tilt angle and decentration of"}, {"category_id": 15, "poly": [89.0, 663.0, 1550.0, 663.0, 1550.0, 694.0, 89.0, 694.0], "score": 0.97, "text": "each subject were given. Moreover, the horizontal and vertical tit was also obtained. Accordingly, the possible errors of IOL tilt and decentration existed in the method"}, {"category_id": 15, "poly": [89.0, 692.0, 1562.0, 692.0, 1562.0, 724.0, 89.0, 724.0], "score": 0.98, "text": "employed by AS-OCT instrument. Based on 6-12 pieces of AS-OCT images at different directions, the tilt angle and decentration values were shown, respectively. The"}, {"category_id": 15, "poly": [86.0, 719.0, 1530.0, 721.0, 1530.0, 755.0, 86.0, 753.0], "score": 0.97, "text": "method ofthe surface fitting to the IOL surface can accurately analyze the IOL's location, and six pieces of AS-OCT images at three pairs symmetrical directions are"}, {"category_id": 15, "poly": [89.0, 750.0, 694.0, 750.0, 694.0, 782.0, 89.0, 782.0], "score": 0.99, "text": "enough to get tilt angle and decentration value ofIOL more precisely."}, {"category_id": 15, "poly": [91.0, 811.0, 234.0, 811.0, 234.0, 838.0, 91.0, 838.0], "score": 1.0, "text": "1. Introduction"}, {"category_id": 15, "poly": [89.0, 867.0, 1528.0, 867.0, 1528.0, 899.0, 89.0, 899.0], "score": 0.99, "text": "The operations of congenital lens subluxation have mostly implanted posterior chamber intraocular lens (IOL) through scleral suture fixation or capsular tension ring to"}, {"category_id": 15, "poly": [89.0, 897.0, 1520.0, 897.0, 1520.0, 928.0, 89.0, 928.0], "score": 0.97, "text": "combine with the capsular bag Serious IOL dislocation has been controlled, but it is dificult to avoid the tilt and decentration ofIOL [1-3]. Therefore, to obtain the"}, {"category_id": 15, "poly": [89.0, 926.0, 1446.0, 926.0, 1446.0, 960.0, 89.0, 960.0], "score": 0.98, "text": "reliable tilt and decentration of IOL could play an important role in the evaluation of the diferent operation schemes and effective treatment of postoperative"}, {"category_id": 15, "poly": [91.0, 958.0, 216.0, 958.0, 216.0, 984.0, 91.0, 984.0], "score": 0.96, "text": "complications."}, {"category_id": 15, "poly": [86.0, 1004.0, 1503.0, 1006.0, 1503.0, 1040.0, 86.0, 1038.0], "score": 0.99, "text": " Utrasound biomicroscopy (UBM), Purkinje imaging system, anterior segment optical coherence tomography (AS-OCT), and Scheimpfug imaging system are the"}, {"category_id": 15, "poly": [91.0, 1038.0, 1540.0, 1038.0, 1540.0, 1072.0, 91.0, 1072.0], "score": 0.97, "text": "methods used for measurements ofthe IOL tit and decentration in clinical practice. The Purkinje imaging system is simple, but it depends on the radius of curvature of"}, {"category_id": 15, "poly": [89.0, 1067.0, 1557.0, 1067.0, 1557.0, 1099.0, 89.0, 1099.0], "score": 0.98, "text": "the IOL surfaces. The MI image by Purkinje meter can only show parts ofthe IOL anterior and posterior surfaces. This can have an efect on the radius of curvature and"}, {"category_id": 15, "poly": [89.0, 1094.0, 1505.0, 1094.0, 1505.0, 1128.0, 89.0, 1128.0], "score": 0.97, "text": "the results of IOL tilt and decentration [4Z]. By UBM, operators can clearly see whether the IOL has tit and decentration, but the tit and decentration cannot be"}, {"category_id": 15, "poly": [89.0, 1123.0, 1545.0, 1123.0, 1545.0, 1157.0, 89.0, 1157.0], "score": 0.97, "text": "directly measured. Moreover, it is a contact inspection method and the deformation ofthe eyeballextruded by water in bath cup may affect the measured results [8. 9]."}, {"category_id": 15, "poly": [86.0, 1150.0, 1557.0, 1150.0, 1557.0, 1191.0, 86.0, 1191.0], "score": 0.86, "text": "Scheinpfug ging system can rapidly btan the IL tit and deentraton vaes, but it require pupil dlation, which can case the deviation of th pupil cente. So, th"}, {"category_id": 15, "poly": [91.0, 1182.0, 1505.0, 1182.0, 1505.0, 1216.0, 91.0, 1216.0], "score": 0.98, "text": "IOL decentration measured by the system should be a distance between the IOL center and the nonreal pupil axis, thus the resut measured is not accurate and the"}, {"category_id": 15, "poly": [89.0, 1211.0, 394.0, 1211.0, 394.0, 1243.0, 89.0, 1243.0], "score": 0.95, "text": "method has limitations [6, 10-12]."}, {"category_id": 15, "poly": [91.0, 1262.0, 1550.0, 1262.0, 1550.0, 1296.0, 91.0, 1296.0], "score": 0.99, "text": "AS-OCT is a noninvasive and noncontact imaging method of measuring the IOL tit and decentration and has been widely used in clinical practice. AS-OCT instrument "}, {"category_id": 15, "poly": [89.0, 1291.0, 1518.0, 1291.0, 1518.0, 1325.0, 89.0, 1325.0], "score": 0.97, "text": "can scan the eyeballat the rotated axis which is the ine (called a baseline) passed through the anterior cornea center and the pupil center, and a lot of images canbe"}, {"category_id": 15, "poly": [89.0, 1321.0, 1555.0, 1321.0, 1555.0, 1355.0, 89.0, 1355.0], "score": 0.98, "text": "scanned by AS-OCT at every scanned angle [13, 14]. According to each piece of scanned images, the IOL tilt and decentration are given by AS-OCT instrument. The "}, {"category_id": 15, "poly": [91.0, 1350.0, 1560.0, 1350.0, 1560.0, 1384.0, 91.0, 1384.0], "score": 0.96, "text": "maximum value ofIOL tits and decentrations obtained from al the images are taken as the IOL tlt and decentration, respectively. In clinical practice, the IOL tit degree"}, {"category_id": 15, "poly": [89.0, 1379.0, 1483.0, 1379.0, 1483.0, 1411.0, 89.0, 1411.0], "score": 0.98, "text": "is an angle between the IOL optical axis and the baseline, and the IOL decentration value is the vertical distance from the IOL center to the baseline [6, 11, 15]."}, {"category_id": 15, "poly": [89.0, 1408.0, 1525.0, 1408.0, 1525.0, 1442.0, 89.0, 1442.0], "score": 0.98, "text": "Geometrically, the IOL tit and decentration are two values independent with images. However, we have found that the IOL tit and decentration values measured on"}, {"category_id": 15, "poly": [89.0, 1438.0, 1149.0, 1438.0, 1149.0, 1472.0, 89.0, 1472.0], "score": 0.98, "text": "different images at the same scanned angle were not the same. It is possible to result in errors of IOL tit and decentration."}, {"category_id": 15, "poly": [89.0, 1489.0, 1555.0, 1489.0, 1555.0, 1520.0, 89.0, 1520.0], "score": 0.99, "text": "Due to the fact that IOL surface is similar to the spherical [6, 16], we assumed anterior and posterior surfaces ofIOL to be spherical surfaces. The equations ofthe IOL"}, {"category_id": 15, "poly": [91.0, 1518.0, 1500.0, 1518.0, 1500.0, 1552.0, 91.0, 1552.0], "score": 0.98, "text": "anterior and posterior surfaces were calculated through the AS-OCT image registration and the surface ftting method, and then the IOL tit and decentration were"}, {"category_id": 15, "poly": [91.0, 1550.0, 184.0, 1550.0, 184.0, 1576.0, 91.0, 1576.0], "score": 1.0, "text": "calculated."}, {"category_id": 15, "poly": [86.0, 1608.0, 347.0, 1608.0, 347.0, 1640.0, 86.0, 1640.0], "score": 0.98, "text": " 2. Materials and Methods"}, {"category_id": 15, "poly": [86.0, 1664.0, 261.0, 1664.0, 261.0, 1698.0, 86.0, 1698.0], "score": 0.91, "text": " 2.1. Image Obtaining"}, {"category_id": 15, "poly": [89.0, 1723.0, 1552.0, 1723.0, 1552.0, 1757.0, 89.0, 1757.0], "score": 0.97, "text": "In this study, AS-OCT images of 12 eyes of 8 patients with congenital subluxation lens were provided by the Ophthalmic Research Center of Bejing, Tongren Hospital."}, {"category_id": 15, "poly": [91.0, 1930.0, 231.0, 1930.0, 231.0, 1956.0, 91.0, 1956.0], "score": 0.98, "text": "anterior surface."}, {"category_id": 15, "poly": [89.0, 1988.0, 278.0, 1988.0, 278.0, 2013.0, 89.0, 2013.0], "score": 0.99, "text": "2.2. Image Registration"}, {"category_id": 15, "poly": [89.0, 2042.0, 1560.0, 2042.0, 1560.0, 2076.0, 89.0, 2076.0], "score": 0.97, "text": "Because the center locations of the cormeal anterior surface may be different among images, we need to use image registration for al the images from each scanned angle."}, {"category_id": 15, "poly": [84.0, 2064.0, 1545.0, 2066.0, 1545.0, 2108.0, 84.0, 2105.0], "score": 0.88, "text": "The center ofthecorneal antrior sface is regarded as arefrence pont defndbyth ntersectiopont ofcomeal antrior suface and ppendicubisetorfte"}, {"category_id": 15, "poly": [91.0, 2100.0, 1560.0, 2100.0, 1560.0, 2134.0, 91.0, 2134.0], "score": 0.99, "text": "line joining scleral spurs, which is also regarded as reference line (Figure 1). Each picture can be made rigid transformation Figure 2 gives one piece ofregistered images."}, {"category_id": 15, "poly": [86.0, 2122.0, 1501.0, 2125.0, 1500.0, 2166.0, 86.0, 2164.0], "score": 0.89, "text": "Afer image transformation, the pixel values ofthe center ofthe coreal anteror surface n mage were read t verify the corectess and validity ofthe rgid body"}, {"category_id": 15, "poly": [86.0, 2156.0, 332.0, 2159.0, 332.0, 2193.0, 86.0, 2190.0], "score": 0.98, "text": " transformation image again."}, {"category_id": 15, "poly": [1102.0, 1752.0, 1451.0, 1752.0, 1451.0, 1786.0, 1102.0, 1786.0], "score": 0.99, "text": "Moreover, it has a scan speed of2000"}, {"category_id": 15, "poly": [91.0, 1752.0, 731.0, 1752.0, 731.0, 1786.0, 91.0, 1786.0], "score": 0.98, "text": "The system takes 2000 A scans per second and has an axial resolution of"}, {"category_id": 15, "poly": [793.0, 1752.0, 1037.0, 1752.0, 1037.0, 1786.0, 793.0, 1786.0], "score": 0.95, "text": "and transverse resolution of"}, {"category_id": 15, "poly": [233.0, 1810.0, 370.0, 1810.0, 370.0, 1844.0, 233.0, 1844.0], "score": 0.95, "text": "with periods of"}, {"category_id": 15, "poly": [406.0, 1810.0, 1107.0, 1810.0, 1107.0, 1844.0, 406.0, 1844.0], "score": 0.98, "text": ", Figure 1 shows a piece of these images. Image format is RGB and image size is"}, {"category_id": 15, "poly": [89.0, 397.0, 180.0, 397.0, 180.0, 431.0, 89.0, 431.0], "score": 1.0, "text": "Copyright"}, {"category_id": 15, "poly": [205.0, 397.0, 1535.0, 397.0, 1535.0, 431.0, 205.0, 431.0], "score": 0.98, "text": "2013 Lin Liet al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution,"}, {"category_id": 15, "poly": [91.0, 1779.0, 590.0, 1779.0, 590.0, 1813.0, 91.0, 1813.0], "score": 0.98, "text": "times/second, scan time of0.125 s/row and frame rate of"}, {"category_id": 15, "poly": [649.0, 1779.0, 1532.0, 1779.0, 1532.0, 1813.0, 649.0, 1813.0], "score": 0.99, "text": "[9, 13, 14, 17]. For each eyeball the AS-OCT instrument provides 2-3 pieces of images at a degree"}, {"category_id": 15, "poly": [89.0, 1810.0, 133.0, 1810.0, 133.0, 1844.0, 89.0, 1844.0], "score": 1.0, "text": "from"}, {"category_id": 15, "poly": [160.0, 1810.0, 184.0, 1810.0, 184.0, 1844.0, 160.0, 1844.0], "score": 1.0, "text": "to"}, {"category_id": 15, "poly": [89.0, 1898.0, 966.0, 1898.0, 966.0, 1930.0, 89.0, 1930.0], "score": 0.99, "text": "Figure 1: The AS-OCT image at 30 degrees scanned angle. Points A and B are scleral spurs. Point"}, {"category_id": 15, "poly": [986.0, 1898.0, 1555.0, 1898.0, 1555.0, 1930.0, 986.0, 1930.0], "score": 0.97, "text": "is the intersection point of perpendicular bisector (L) and corneal"}], "page_info": {"page_no": 1, "height": 2339, "width": 1653}}, {"layout_dets": [{"category_id": 1, "poly": [85.54791259765625, 1992.5283203125, 1562.2015380859375, 1992.5283203125, 1562.2015380859375, 2056.579345703125, 85.54791259765625, 2056.579345703125], "score": 0.9999997019767761}, {"category_id": 1, "poly": [87.99212646484375, 1732.5474853515625, 1526.8167724609375, 1732.5474853515625, 1526.8167724609375, 1821.6837158203125, 87.99212646484375, 1821.6837158203125], "score": 0.9999996423721313}, {"category_id": 1, "poly": [87.91651916503906, 1343.5950927734375, 1564.9542236328125, 1343.5950927734375, 1564.9542236328125, 1559.619140625, 87.91651916503906, 1559.619140625], "score": 0.9999995231628418}, {"category_id": 1, "poly": [88.61979675292969, 192.71449279785156, 1564.0771484375, 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{"category_id": 13, "poly": [370, 1529, 385, 1529, 385, 1552, 370, 1552], "score": 0.5, "latex": "d"}, {"category_id": 13, "poly": [1303, 1433, 1389, 1433, 1389, 1464, 1303, 1464], "score": 0.5, "latex": "\\dot{\\bf\\Phi}(\\alpha-\\rho)\\,d"}, {"category_id": 13, "poly": [1181, 1433, 1511, 1433, 1511, 1465, 1181, 1465], "score": 0.43, "latex": "d_{2}\\left(\\alpha\\right)=\\cos{\\stackrel{\\bullet}{\\left(\\alpha-\\rho\\right)}}\\,d.(5)\\;\\mathrm{{The\\;IOL}}"}, {"category_id": 13, "poly": [466, 324, 580, 324, 580, 345, 466, 345], "score": 0.43, "latex": "x\\ =x\\cos\\alpha"}, {"category_id": 13, "poly": [466, 313, 874, 313, 874, 348, 466, 348], "score": 0.43, "latex": "x^{'}=x\\cos\\alpha,~~~~~y^{'}=x\\sin\\alpha,~~~~~z^{'}=y,\\bar{(1)}"}, {"category_id": 13, "poly": [1101, 1350, 1147, 1350, 1147, 1377, 1101, 1377], "score": 0.42, "latex": "\\mathrm{{TOL},}"}, {"category_id": 13, "poly": [1024, 1380, 1071, 1380, 1071, 1405, 1024, 1405], "score": 0.41, "latex": "O,E"}, {"category_id": 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Collecting IOL Surface Data"}, {"category_id": 15, "poly": [89.0, 197.0, 1557.0, 197.0, 1557.0, 229.0, 89.0, 229.0], "score": 0.99, "text": "From each piece of AS-OCT images, we can obtain two-dimensional pixel coordinates of points of the IOL anterior and posterior surfaces. In order to obtain the three-"}, {"category_id": 15, "poly": [89.0, 227.0, 1557.0, 227.0, 1557.0, 261.0, 89.0, 261.0], "score": 0.98, "text": "dimensional coordinates of points of the IOL surface data, Cartesian coordinate system is needed. We set the horizontal direction (alar to zygomatic direction) parallel to"}, {"category_id": 15, "poly": [91.0, 329.0, 428.0, 329.0, 428.0, 361.0, 91.0, 361.0], "score": 0.98, "text": "relations between them are as follows:"}, {"category_id": 15, "poly": [91.0, 387.0, 642.0, 387.0, 642.0, 412.0, 91.0, 412.0], "score": 0.97, "text": "2.4.TheTilt and Decentration of IOL Calculated by GeometricMethod"}, {"category_id": 15, "poly": [686.0, 670.0, 713.0, 670.0, 713.0, 692.0, 686.0, 692.0], "score": 0.75, "text": "(2)"}, {"category_id": 15, "poly": [91.0, 816.0, 654.0, 816.0, 654.0, 848.0, 91.0, 848.0], "score": 0.98, "text": "Figure 3: The geometrical definition of IOL tilt and decentration"}, {"category_id": 15, "poly": [849.0, 936.0, 883.0, 936.0, 883.0, 965.0, 849.0, 965.0], "score": 0.98, "text": "(3)"}, {"category_id": 15, "poly": [89.0, 1014.0, 403.0, 1014.0, 403.0, 1045.0, 89.0, 1045.0], "score": 0.99, "text": "Decentration equation is as follows:"}, {"category_id": 15, "poly": [86.0, 1099.0, 571.0, 1101.0, 571.0, 1133.0, 86.0, 1130.0], "score": 0.97, "text": " 2.5. IOL Tilt Calculated When the Different Scanned Angles"}, {"category_id": 15, "poly": [89.0, 1157.0, 1557.0, 1157.0, 1557.0, 1189.0, 89.0, 1189.0], "score": 0.98, "text": "The IOL tilt and decentration at different scanned angles were calculated based on the equations ofthe IOL anterior and posterior surface. For the AS-OCT image with"}, {"category_id": 15, "poly": [1390.0, 1245.0, 1525.0, 1245.0, 1525.0, 1272.0, 1390.0, 1272.0], "score": 0.95, "text": "Apparently, as"}, {"category_id": 15, "poly": [86.0, 1615.0, 831.0, 1618.0, 831.0, 1652.0, 86.0, 1649.0], "score": 0.98, "text": " Figure 4: The projection of IOL center point in the plane at different scanned angles."}, {"category_id": 15, "poly": [89.0, 1679.0, 192.0, 1679.0, 192.0, 1706.0, 89.0, 1706.0], "score": 0.99, "text": "3. Results"}, {"category_id": 15, "poly": [89.0, 1737.0, 1520.0, 1737.0, 1520.0, 1771.0, 89.0, 1771.0], "score": 0.96, "text": "Figure 5 shows the IOL ftting surface of case 11. Table 1 gives the IOL tilt and decentration calculated by the surface fitting approach and their values given by AS-"}, {"category_id": 15, "poly": [89.0, 1796.0, 723.0, 1796.0, 723.0, 1827.0, 89.0, 1827.0], "score": 0.99, "text": "shown in the ninth-tenth colum of Table 1, was between 0.85 and 0.97."}, {"category_id": 15, "poly": [89.0, 1878.0, 792.0, 1881.0, 792.0, 1915.0, 89.0, 1913.0], "score": 0.97, "text": "Table 1: The IOL tilt and decentration obtained by the method of surface ftting."}, {"category_id": 15, "poly": [91.0, 1947.0, 1001.0, 1947.0, 1001.0, 1978.0, 91.0, 1978.0], "score": 0.98, "text": "Figure 5: The image of IOL fiting surface and intersection of the anterior and posterior surfaces of IOL."}, {"category_id": 15, "poly": [89.0, 2030.0, 1471.0, 2030.0, 1471.0, 2061.0, 89.0, 2061.0], "score": 0.96, "text": "respect to the change of scanned angle. But the data provided by As-OCT instrument oscillates with a small amplitude. It definitely affects the estimation of tlt."}, {"category_id": 15, "poly": [91.0, 2115.0, 986.0, 2115.0, 986.0, 2147.0, 91.0, 2147.0], "score": 0.98, "text": "Figure 6: The relation with IOL tits by the method of surface fitting and AS-OCT and scanned angles."}, {"category_id": 15, "poly": [89.0, 2166.0, 1525.0, 2166.0, 1525.0, 2198.0, 89.0, 2198.0], "score": 0.98, "text": "Figure 7 gives data of the decentration calculated by the method of surface fitting and provided by AS-OCT instrument for case 12. It is shown that the trend oftwo"}, {"category_id": 15, "poly": [91.0, 2195.0, 1550.0, 2195.0, 1550.0, 2227.0, 91.0, 2227.0], "score": 0.97, "text": "curves is inconsistent with respect to the change of scanned angle. But the data provided by AS-OCT instrument oscillates with a large amplitude. According to formula"}, {"category_id": 15, "poly": [992.0, 1442.0, 1154.0, 1442.0, 1154.0, 1476.0, 992.0, 1476.0], "score": 0.97, "text": ", can be obtained"}, {"category_id": 15, "poly": [91.0, 2224.0, 271.0, 2224.0, 271.0, 2259.0, 91.0, 2259.0], "score": 0.99, "text": "(5), the decentration"}, {"category_id": 15, "poly": [328.0, 2224.0, 1080.0, 2224.0, 1080.0, 2259.0, 328.0, 2259.0], "score": 0.98, "text": " changes in accordance with cosine approximately. Clearly, the change of decentration"}, {"category_id": 15, "poly": [1137.0, 2224.0, 1555.0, 2224.0, 1555.0, 2259.0, 1137.0, 2259.0], "score": 0.97, "text": "calculated by our method is in accordance with"}, {"category_id": 15, "poly": [1021.0, 1269.0, 1557.0, 1267.0, 1557.0, 1301.0, 1021.0, 1304.0], "score": 0.97, "text": "is a maxima, which is exactly equal to tit. Therefore, the tilt ("}, {"category_id": 15, "poly": [697.0, 1269.0, 963.0, 1267.0, 963.0, 1301.0, 697.0, 1304.0], "score": 0.97, "text": "attains its minimum value, and"}, {"category_id": 15, "poly": [89.0, 1498.0, 201.0, 1501.0, 201.0, 1535.0, 89.0, 1533.0], "score": 0.98, "text": "decentration"}, {"category_id": 15, "poly": [91.0, 1472.0, 201.0, 1472.0, 201.0, 1506.0, 91.0, 1506.0], "score": 1.0, "text": "decentration"}, {"category_id": 15, "poly": [89.0, 290.0, 942.0, 290.0, 942.0, 322.0, 89.0, 322.0], "score": 0.99, "text": "surface is as the origin of coordinates. Assuming that the two-dimensional coordinate of point A is"}, {"category_id": 15, "poly": [999.0, 290.0, 1493.0, 290.0, 1493.0, 322.0, 999.0, 322.0], "score": 0.97, "text": ", and the three-dimensional coordinate is (x y ,z \uff09, the"}, {"category_id": 15, "poly": [451.0, 1269.0, 467.0, 1267.0, 467.0, 1301.0, 451.0, 1304.0], "score": 0.77, "text": "\uff0c"}, {"category_id": 15, "poly": [1203.0, 1408.0, 1476.0, 1406.0, 1476.0, 1440.0, 1203.0, 1442.0], "score": 0.95, "text": ", and the equation of line OE is"}, {"category_id": 15, "poly": [631.0, 1243.0, 809.0, 1243.0, 809.0, 1274.0, 631.0, 1274.0], "score": 0.98, "text": ", from the following:"}, {"category_id": 15, "poly": [706.0, 1043.0, 826.0, 1043.0, 826.0, 1077.0, 706.0, 1077.0], "score": 0.96, "text": ", respectively."}, {"category_id": 15, "poly": [434.0, 1998.0, 1560.0, 1998.0, 1560.0, 2032.0, 434.0, 2032.0], "score": 0.97, "text": " defined by formula (4) and provided by AS-OCT instrument for case 12. It is found that the trend oftwo curves is identical with"}, {"category_id": 15, "poly": [91.0, 443.0, 918.0, 443.0, 918.0, 475.0, 91.0, 475.0], "score": 0.97, "text": "From Figure 3, 0, known as tilt of IOL, is an angle between visual axis and optical axis of IOL."}, {"category_id": 15, "poly": [938.0, 443.0, 1535.0, 443.0, 1535.0, 475.0, 938.0, 475.0], "score": 0.97, "text": ", defined as tit at the horizontal direction, is an angle between optical"}, {"category_id": 15, "poly": [89.0, 1043.0, 620.0, 1043.0, 620.0, 1077.0, 89.0, 1077.0], "score": 0.98, "text": "ofthe fied IOL anterior and posterior surface with radius of"}, {"category_id": 15, "poly": [645.0, 1043.0, 683.0, 1043.0, 683.0, 1077.0, 645.0, 1077.0], "score": 1.0, "text": "and"}, {"category_id": 15, "poly": [1082.0, 1408.0, 1093.0, 1406.0, 1093.0, 1440.0, 1082.0, 1442.0], "score": 0.7, "text": "\uff0c"}, {"category_id": 15, "poly": [950.0, 314.0, 1215.0, 322.0, 1215.0, 363.0, 950.0, 356.0], "score": 0.95, "text": "is scanned angle of AS-OCT."}, {"category_id": 15, "poly": [84.0, 1759.0, 1480.0, 1762.0, 1480.0, 1803.0, 84.0, 1801.0], "score": 0.94, "text": "OCT instrument. The eighth coummn of Table 1 gives the diameter ofIOL computed by the method of surface fiting The goodness-oft (corelation coeficient"}, {"category_id": 15, "poly": [1510.0, 1759.0, 1525.0, 1762.0, 1525.0, 1803.0, 1510.0, 1801.0], "score": 0.73, "text": "\uff0c"}, {"category_id": 15, "poly": [259.0, 1498.0, 876.0, 1501.0, 876.0, 1535.0, 259.0, 1533.0], "score": 0.97, "text": "calculated from all of different scanmned angle images. If there is a tit of"}, {"category_id": 15, "poly": [202.0, 1442.0, 935.0, 1442.0, 935.0, 1476.0, 202.0, 1476.0], "score": 0.97, "text": ", for the AS-OCT image with scanned angle of \u03b1, the IOL decentration, denoted by"}, {"category_id": 15, "poly": [89.0, 1352.0, 723.0, 1352.0, 723.0, 1386.0, 89.0, 1386.0], "score": 0.99, "text": "For a piece of AS-OCT image with scanned angle of\u03b1 (Figure 4), point"}, {"category_id": 15, "poly": [89.0, 587.0, 232.0, 587.0, 232.0, 621.0, 89.0, 621.0], "score": 0.97, "text": "axis ofIOL and"}, {"category_id": 15, "poly": [89.0, 1381.0, 578.0, 1381.0, 578.0, 1413.0, 89.0, 1413.0], "score": 0.99, "text": "center ofIOL on XOY plane (coordinate plane, Figure"}, {"category_id": 15, "poly": [871.0, 314.0, 932.0, 322.0, 932.0, 363.0, 871.0, 356.0], "score": 0.99, "text": "where"}, {"category_id": 15, "poly": [1136.0, 1381.0, 1550.0, 1381.0, 1550.0, 1413.0, 1136.0, 1413.0], "score": 0.97, "text": "were the same one. The length of segment OF"}, {"category_id": 15, "poly": [254.0, 587.0, 303.0, 587.0, 303.0, 621.0, 254.0, 621.0], "score": 0.94, "text": "-axis."}, {"category_id": 15, "poly": [321.0, 587.0, 1316.0, 587.0, 1316.0, 621.0, 321.0, 621.0], "score": 0.97, "text": ". defined as tit at vertical direction, is an angle between optical axis ofIOL and Y axis, and we know the folowing"}, {"category_id": 15, "poly": [924.0, 1498.0, 1010.0, 1501.0, 1010.0, 1535.0, 924.0, 1533.0], "score": 1.0, "text": "segments"}, {"category_id": 15, "poly": [1046.0, 1498.0, 1505.0, 1501.0, 1505.0, 1535.0, 1046.0, 1533.0], "score": 0.97, "text": "and OE are nearly orthogonal; then the maximum of"}, {"category_id": 15, "poly": [259.0, 1472.0, 679.0, 1472.0, 679.0, 1506.0, 259.0, 1506.0], "score": 0.96, "text": "attains is maximum value, the IOL decentration"}, {"category_id": 15, "poly": [696.0, 1472.0, 833.0, 1472.0, 833.0, 1506.0, 696.0, 1506.0], "score": 1.0, "text": ", as long as cos"}, {"category_id": 15, "poly": [1167.0, 256.0, 1510.0, 256.0, 1510.0, 288.0, 1167.0, 288.0], "score": 0.98, "text": "axis. The center ofthe corneal anterior"}, {"category_id": 15, "poly": [879.0, 1408.0, 971.0, 1406.0, 971.0, 1440.0, 879.0, 1442.0], "score": 0.96, "text": ". Defining."}, {"category_id": 15, "poly": [89.0, 1530.0, 369.0, 1530.0, 369.0, 1562.0, 89.0, 1562.0], "score": 1.0, "text": "is close to the IOL decentration"}, {"category_id": 15, "poly": [1390.0, 1430.0, 1511.0, 1435.0, 1510.0, 1477.0, 1390.0, 1471.0], "score": 1.0, "text": "(5) The IOL"}, {"category_id": 15, "poly": [743.0, 1352.0, 1100.0, 1352.0, 1100.0, 1386.0, 743.0, 1386.0], "score": 0.97, "text": "is the projection point of image center of"}, {"category_id": 15, "poly": [1148.0, 1352.0, 1515.0, 1352.0, 1515.0, 1386.0, 1148.0, 1386.0], "score": 0.97, "text": " and point F is the projection point of real"}, {"category_id": 15, "poly": [600.0, 1381.0, 1023.0, 1381.0, 1023.0, 1413.0, 600.0, 1413.0], "score": 0.98, "text": ". Ifthere were not any decentration, three points"}, {"category_id": 15, "poly": [86.0, 1408.0, 405.0, 1406.0, 405.0, 1440.0, 86.0, 1442.0], "score": 0.98, "text": "is the IOL decentration, denoted by"}, {"category_id": 15, "poly": [423.0, 1408.0, 782.0, 1406.0, 782.0, 1440.0, 423.0, 1442.0], "score": 0.95, "text": ". Ifthere were not any IOL tilt, we know"}, {"category_id": 15, "poly": [944.0, 1472.0, 1237.0, 1472.0, 1237.0, 1506.0, 944.0, 1506.0], "score": 0.97, "text": ". Therefore, the IOL decentration"}, {"category_id": 15, "poly": [1256.0, 1472.0, 1473.0, 1472.0, 1473.0, 1506.0, 1256.0, 1506.0], "score": 0.99, "text": "is the maximum value of"}, {"category_id": 15, "poly": [91.0, 1243.0, 239.0, 1243.0, 239.0, 1274.0, 91.0, 1274.0], "score": 0.99, "text": "scanned angle of"}, {"category_id": 15, "poly": [255.0, 1243.0, 581.0, 1243.0, 581.0, 1274.0, 255.0, 1274.0], "score": 0.96, "text": ", one can get the IOL tilt, denoted by"}, {"category_id": 15, "poly": [91.0, 1998.0, 148.0, 1998.0, 148.0, 2032.0, 91.0, 2032.0], "score": 1.0, "text": "Figure"}, {"category_id": 15, "poly": [167.0, 1998.0, 383.0, 1998.0, 383.0, 2032.0, 167.0, 2032.0], "score": 0.93, "text": "gives the graph of the tilt"}, {"category_id": 15, "poly": [105.0, 1301.0, 863.0, 1301.0, 863.0, 1333.0, 105.0, 1333.0], "score": 0.96, "text": ") should take the maximum value from the tits calculated at the different scanned angles."}, {"category_id": 15, "poly": [112.0, 256.0, 797.0, 256.0, 797.0, 288.0, 112.0, 288.0], "score": 0.99, "text": "axis, the vertical direction (nasal bone to the jaw bone direction) parallel to the"}, {"category_id": 15, "poly": [820.0, 256.0, 1144.0, 256.0, 1144.0, 288.0, 820.0, 288.0], "score": 0.99, "text": "axis, and the ocular axial is set as the"}, {"category_id": 15, "poly": [1073.0, 1381.0, 1117.0, 1381.0, 1117.0, 1413.0, 1073.0, 1413.0], "score": 0.9, "text": ", and"}], "page_info": {"page_no": 2, "height": 2339, "width": 1653}}, {"layout_dets": [{"category_id": 1, "poly": [92.0838623046875, 1900.6451416015625, 559.0983276367188, 1900.6451416015625, 559.0983276367188, 1928.751220703125, 92.0838623046875, 1928.751220703125], "score": 0.9999998807907104}, {"category_id": 1, "poly": [91.62836456298828, 851.543701171875, 1564.9864501953125, 851.543701171875, 1564.9864501953125, 967.3631591796875, 91.62836456298828, 967.3631591796875], "score": 0.9999996423721313}, {"category_id": 1, "poly": [92.05652618408203, 215.79888916015625, 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"0.06\\,\\mathrm{mm}\\mathrm{-}0.51\\,\\mathrm{mm})"}, {"category_id": 13, "poly": [1031, 912, 1181, 912, 1181, 938, 1031, 938], "score": 0.8, "latex": "1.09\\pm0.65\\;\\mathrm{mm})"}, {"category_id": 13, "poly": [1289, 1051, 1338, 1051, 1338, 1079, 1289, 1079], "score": 0.79, "latex": "\\dot{\\mathbf{\\omega}}\\omega(\\alpha)"}, {"category_id": 13, "poly": [435, 573, 477, 573, 477, 603, 435, 603], "score": 0.78, "latex": "(R^{2})"}, {"category_id": 13, "poly": [1025, 1335, 1111, 1335, 1111, 1363, 1025, 1363], "score": 0.71, "latex": "0.05\\,\\mathrm{mm},"}, {"category_id": 13, "poly": [158, 1027, 174, 1027, 174, 1046, 158, 1046], "score": 0.64, "latex": "\\alpha"}, {"category_id": 13, "poly": [420, 1082, 437, 1082, 437, 1107, 420, 1107], "score": 0.49, "latex": "\\underline{{6}}"}, {"category_id": 13, "poly": [1029, 1307, 1046, 1307, 1046, 1333, 1029, 1333], "score": 0.26, "latex": "\\underline{{3}}"}, {"category_id": 15, "poly": [89.0, 168.0, 1065.0, 168.0, 1065.0, 200.0, 89.0, 200.0], "score": 0.98, "text": "Figure 7: The relation with IOL decentration by the method of surface fitting and AS-OCT and scanned angles."}, {"category_id": 15, "poly": [91.0, 219.0, 1562.0, 219.0, 1562.0, 253.0, 91.0, 253.0], "score": 0.97, "text": "Table 2 gives the results ofthe IOL tilt and decentration of three cases by two methods in different scanned angles (The \u201c' shown in the Table 2 means that this data is"}, {"category_id": 15, "poly": [91.0, 249.0, 1528.0, 249.0, 1528.0, 283.0, 91.0, 283.0], "score": 0.97, "text": "not available). The resuts ofIOL tit and decentration shown in Table 3 were calculated by surface ftting method based on 6, 7, 8, 9, 10, and 11 pieces ofAS-OCT"}, {"category_id": 15, "poly": [91.0, 283.0, 268.0, 283.0, 268.0, 309.0, 91.0, 309.0], "score": 0.94, "text": "images, respectively."}, {"category_id": 15, "poly": [89.0, 363.0, 861.0, 366.0, 861.0, 400.0, 89.0, 397.0], "score": 0.97, "text": "Table 2: IOL decentration and tit obtained from the image with different scanned angle."}, {"category_id": 15, "poly": [89.0, 426.0, 1225.0, 429.0, 1225.0, 463.0, 89.0, 460.0], "score": 0.97, "text": "Table 3: IOL tilt and decentration calculated by surface ftting method based on 6, 7, 8, 9, 10, and 11 pieces of AS-OCT images."}, {"category_id": 15, "poly": [87.0, 482.0, 224.0, 488.0, 223.0, 522.0, 86.0, 516.0], "score": 1.0, "text": "4. Discussion"}, {"category_id": 15, "poly": [89.0, 541.0, 1508.0, 543.0, 1508.0, 585.0, 89.0, 582.0], "score": 0.77, "text": "According tCes, tILtitadderation we calculatd bycolletingdatafI sface and shercal fting to te dta ofIL aeror ad"}, {"category_id": 15, "poly": [91.0, 629.0, 1503.0, 629.0, 1503.0, 663.0, 91.0, 663.0], "score": 0.97, "text": "Korynta et al [18] showed that the drif and oblique astigmatism can be caused by the IOL decentration being more than 1 mm and the IOL tit being more than 5"}, {"category_id": 15, "poly": [86.0, 653.0, 1547.0, 653.0, 1547.0, 694.0, 86.0, 694.0], "score": 0.89, "text": "degres Inour results, the decentration ofone ee was greater than mmand the tits of3 eyes were greater than 5 degrees. The IL tit and decentrationfthe othr"}, {"category_id": 15, "poly": [89.0, 687.0, 1540.0, 687.0, 1540.0, 721.0, 89.0, 721.0], "score": 0.96, "text": "8 eyes basically were within the normal range given by Korynta. It is noticed that most ofthe cases used in this study are successful in operations. This verified that our"}, {"category_id": 15, "poly": [89.0, 746.0, 1537.0, 746.0, 1537.0, 780.0, 89.0, 780.0], "score": 0.98, "text": "optical diameter obtained in this study was basicall in this range (Table 1). We noticed that the calculated IOL diameters are slightly larger than those provided by the"}, {"category_id": 15, "poly": [89.0, 775.0, 1535.0, 772.0, 1535.0, 806.0, 89.0, 809.0], "score": 0.97, "text": "manufacturer. The reason is that the edge ofIOL was made with a smooth and certain thickness shape, but we have not taken into account this issue in the calculation"}, {"category_id": 15, "poly": [86.0, 804.0, 187.0, 804.0, 187.0, 838.0, 86.0, 838.0], "score": 0.97, "text": "(Figure Z)."}, {"category_id": 15, "poly": [91.0, 855.0, 1469.0, 855.0, 1469.0, 887.0, 91.0, 887.0], "score": 0.97, "text": "The results oftilt calculated by surface ftting (Table 1, 1.76-7.52 degrees) were higher than those of Dhivya's study (0.04-3.6 degrees) [19]. Besides sample"}, {"category_id": 15, "poly": [91.0, 884.0, 1562.0, 884.0, 1562.0, 919.0, 91.0, 919.0], "score": 0.97, "text": "differences, the main reason is that the maximum value obtained from the four images (0 degrees, 90 degrees, 45 degrees, and 135 degrees [19]) is possibly less than the"}, {"category_id": 15, "poly": [86.0, 1138.0, 1523.0, 1138.0, 1523.0, 1179.0, 86.0, 1179.0], "score": 0.92, "text": "elninated byregistrationof images at diferent scanned directions and selecting as many as possibl pixel ponts to a certan extent So, the IL tit and decentration"}, {"category_id": 15, "poly": [86.0, 1167.0, 586.0, 1170.0, 585.0, 1204.0, 86.0, 1201.0], "score": 0.97, "text": " calculated with the method of surface fitting are accurate."}, {"category_id": 15, "poly": [89.0, 1221.0, 1540.0, 1221.0, 1540.0, 1255.0, 89.0, 1255.0], "score": 0.97, "text": "In order to reduce the pressure ofclinical work, it is very significant to provide the method for calculating the more accurate tilt and decentration ofIOL and saving the"}, {"category_id": 15, "poly": [91.0, 1250.0, 1545.0, 1250.0, 1545.0, 1284.0, 91.0, 1284.0], "score": 0.98, "text": "workload. Table 3 gives the results of IOL tilt and decentration calculated with 11, 10, 9, 8, 7, 6 AS-OCT images, respectively by the method. This problem is one of"}, {"category_id": 15, "poly": [89.0, 1279.0, 1557.0, 1279.0, 1557.0, 1313.0, 89.0, 1313.0], "score": 0.98, "text": "innovations of this study. Although the number of images used to obtain IOL tilt and decentration are 2 (90 degrees and 180 degrees) [6, 15], 4 (0 degrees, 45 degrees,"}, {"category_id": 15, "poly": [89.0, 1367.0, 1427.0, 1367.0, 1427.0, 1401.0, 89.0, 1401.0], "score": 0.98, "text": "practice. It is suggested that the method can calculate the more accurate tit and decentration of IOL with scanned angles at the six symmetrical directions."}, {"category_id": 15, "poly": [89.0, 1418.0, 1555.0, 1418.0, 1555.0, 1452.0, 89.0, 1452.0], "score": 0.98, "text": "The IOL tit measured by AS-COT instrument is the angle between the IOL optical axis and the ine joining the centers ofthe anterior cornea and the pupil Our method"}, {"category_id": 15, "poly": [91.0, 1447.0, 1518.0, 1447.0, 1518.0, 1481.0, 91.0, 1481.0], "score": 0.95, "text": "can not only give the IOL tilt, but aso the tilt at the horizontal direction and the tit at the verticaldirection To the knowldge ofthe authors, it has not been reported"}, {"category_id": 15, "poly": [91.0, 1476.0, 1528.0, 1476.0, 1528.0, 1511.0, 91.0, 1511.0], "score": 0.97, "text": "whether the horizontal and vertical angles can affect the recovery of vision and optical imaging quality. This may be related to the current methods in clinic leaving two"}, {"category_id": 15, "poly": [89.0, 1506.0, 1409.0, 1506.0, 1409.0, 1540.0, 89.0, 1540.0], "score": 0.97, "text": "angles unknown. Therefore, it should be studied that whether the horizontal and vertical angles have an impact on visual acuity and visual efect in future."}, {"category_id": 15, "poly": [91.0, 1557.0, 1537.0, 1557.0, 1537.0, 1591.0, 91.0, 1591.0], "score": 0.97, "text": "This study is limited in the follwing: because IOL was covered by ris and opaque tissues, the middle part ofIOL is only displayed in the image, and the point near the"}, {"category_id": 15, "poly": [91.0, 1586.0, 1532.0, 1586.0, 1532.0, 1618.0, 91.0, 1618.0], "score": 0.97, "text": "IOL boundary cannot be obtained. In addition, artificial selection and obtaining pixel coordinates will bring the errors. This will affect the similarity ofthe fitting surface"}, {"category_id": 15, "poly": [91.0, 1615.0, 1532.0, 1615.0, 1532.0, 1649.0, 91.0, 1649.0], "score": 0.96, "text": "and the actual IOL surface. Therefore, it should be studied that the method can reduce errors in collcting data for improving the ftting goodness in future. In addiion,"}, {"category_id": 15, "poly": [89.0, 1645.0, 1513.0, 1645.0, 1513.0, 1679.0, 89.0, 1679.0], "score": 0.96, "text": "this study assumed that the IOL surface was spherical. But the aspheric surface cannot be thought about. It is hoped that the IOL suface can be calculated with the"}, {"category_id": 15, "poly": [89.0, 1674.0, 1564.0, 1674.0, 1564.0, 1708.0, 89.0, 1708.0], "score": 0.98, "text": "method of aspheric ftting in future. Moreover, compared with two methods of spherical and aspheric ftting, the results calculated with two methods can be more close to"}, {"category_id": 15, "poly": [89.0, 1703.0, 305.0, 1703.0, 305.0, 1735.0, 89.0, 1735.0], "score": 0.99, "text": "the real values in clinical"}, {"category_id": 15, "poly": [89.0, 1752.0, 1555.0, 1754.0, 1555.0, 1788.0, 89.0, 1786.0], "score": 0.97, "text": "In conclusion, the method ofthe surface ftting to the IOL surface can accurately analyze the IOL's location, and six piece of AS-OCT images at three pairs symmetrical"}, {"category_id": 15, "poly": [89.0, 1786.0, 814.0, 1786.0, 814.0, 1818.0, 89.0, 1818.0], "score": 0.97, "text": "directions are enough to get ilt angle and decentration value of IOL more precisely."}, {"category_id": 15, "poly": [91.0, 1844.0, 307.0, 1844.0, 307.0, 1876.0, 91.0, 1876.0], "score": 0.98, "text": "Authors\u2019 Contribution"}, {"category_id": 15, "poly": [89.0, 1903.0, 558.0, 1903.0, 558.0, 1935.0, 89.0, 1935.0], "score": 0.99, "text": "Lin Li and Ke Wang contributed equally to this work."}, {"category_id": 15, "poly": [93.0, 1966.0, 266.0, 1966.0, 266.0, 1993.0, 93.0, 1993.0], "score": 0.92, "text": "Acknowle dgme nts"}, {"category_id": 15, "poly": [91.0, 2020.0, 1520.0, 2020.0, 1520.0, 2054.0, 91.0, 2054.0], "score": 0.98, "text": "This work was financially supported by the National Natural Science Foundation ofChina (no. 31070840), the Beijing Natural Science Foundation (3122010), and"}, {"category_id": 15, "poly": [89.0, 2051.0, 1038.0, 2051.0, 1038.0, 2083.0, 89.0, 2083.0], "score": 0.98, "text": "Bejing Leading Academic Discipline Project of Bejing Municipal education Commission (PHR201110506)."}, {"category_id": 15, "poly": [87.0, 2105.0, 207.0, 2110.0, 205.0, 2145.0, 86.0, 2139.0], "score": 1.0, "text": "References"}, {"category_id": 15, "poly": [116.0, 2168.0, 1520.0, 2168.0, 1520.0, 2203.0, 116.0, 2203.0], "score": 0.96, "text": "1. M. Scherer, E. Bertelmann, and P. Rieck, \u201cLate spontaneous in-the-bag intraocular ens and capsular tension ring dislocation in pseudoexfoliation syndrome,\u201d\""}, {"category_id": 15, "poly": [145.0, 2198.0, 1427.0, 2198.0, 1427.0, 2232.0, 145.0, 2232.0], "score": 0.98, "text": "Journal of Cataract and Refractive Surgery, vol. 32, no. 4, pp. 672-675, 2006. View at Publisher \u00b7 View at Google Scholar View at Scopus"}, {"category_id": 15, "poly": [113.0, 2227.0, 1545.0, 2227.0, 1545.0, 2261.0, 113.0, 2261.0], "score": 0.98, "text": "2. H. Saedon, W. H. Chan, and R. Radford, \u201cAnterior dislocation ofa Morcher capsular tension ring\" Journal of Cataract and Refractive Surgery, vol. 37, no."}, {"category_id": 15, "poly": [1387.0, 994.0, 1550.0, 994.0, 1550.0, 1028.0, 1387.0, 1028.0], "score": 1.0, "text": "when the scanned"}, {"category_id": 15, "poly": [630.0, 1111.0, 1481.0, 1111.0, 1481.0, 1145.0, 630.0, 1145.0], "score": 0.98, "text": "calculated from each image could cause larger accumulation errors. In our method, the errors are"}, {"category_id": 15, "poly": [1436.0, 1053.0, 1552.0, 1053.0, 1552.0, 1087.0, 1436.0, 1087.0], "score": 0.97, "text": "among of all"}, {"category_id": 15, "poly": [91.0, 994.0, 857.0, 994.0, 857.0, 1028.0, 91.0, 1028.0], "score": 0.99, "text": "Assume that IOL anterior and posterior surfaces are spheres. We give the formula oftilt"}, {"category_id": 15, "poly": [908.0, 994.0, 1329.0, 994.0, 1329.0, 1028.0, 908.0, 1028.0], "score": 0.99, "text": " and the approximate expression of decentration"}, {"category_id": 15, "poly": [89.0, 1053.0, 113.0, 1053.0, 113.0, 1087.0, 89.0, 1087.0], "score": 1.0, "text": "tit"}, {"category_id": 15, "poly": [164.0, 1053.0, 317.0, 1053.0, 317.0, 1087.0, 164.0, 1087.0], "score": 0.96, "text": " and decentration"}, {"category_id": 15, "poly": [89.0, 1111.0, 369.0, 1111.0, 369.0, 1145.0, 89.0, 1145.0], "score": 0.98, "text": "errors are not eliminated, the tit"}, {"category_id": 15, "poly": [420.0, 1111.0, 573.0, 1111.0, 573.0, 1145.0, 420.0, 1145.0], "score": 0.97, "text": " and decentration"}, {"category_id": 15, "poly": [91.0, 914.0, 724.0, 914.0, 724.0, 948.0, 91.0, 948.0], "score": 0.96, "text": "IOL tilt (see, (4). Our results are consistent with those of Xue et al. (tilt,"}, {"category_id": 15, "poly": [89.0, 716.0, 1311.0, 711.0, 1311.0, 746.0, 89.0, 750.0], "score": 0.96, "text": "results were in accordance with results of the literatures and clinical In addition, optical diameter of the IOL provided by the manufacturer is"}, {"category_id": 15, "poly": [1445.0, 716.0, 1532.0, 711.0, 1533.0, 746.0, 1445.0, 750.0], "score": 1.0, "text": "The IOL"}, {"category_id": 15, "poly": [89.0, 943.0, 280.0, 943.0, 280.0, 977.0, 89.0, 977.0], "score": 1.0, "text": "degrees; decentration"}, {"category_id": 15, "poly": [456.0, 943.0, 1560.0, 943.0, 1560.0, 977.0, 456.0, 977.0], "score": 0.99, "text": "[21]. In fact, the IOL tit and decentration were possibly involved in the difference of individuals, surgeons, and measurements."}, {"category_id": 15, "poly": [835.0, 914.0, 1030.0, 914.0, 1030.0, 948.0, 835.0, 948.0], "score": 0.96, "text": "degrees; decentration"}, {"category_id": 15, "poly": [1182.0, 914.0, 1557.0, 914.0, 1557.0, 948.0, 1182.0, 948.0], "score": 0.99, "text": "[20] and Baumeister et al. (tilt, 0.91-6.83"}, {"category_id": 15, "poly": [374.0, 1053.0, 1288.0, 1053.0, 1288.0, 1087.0, 374.0, 1087.0], "score": 0.99, "text": ", respectively. However, the tilt and decentration given by AS-OCT instrument are the maximum value of"}, {"category_id": 15, "poly": [1339.0, 1053.0, 1378.0, 1053.0, 1378.0, 1087.0, 1339.0, 1087.0], "score": 1.0, "text": "and"}, {"category_id": 15, "poly": [89.0, 577.0, 434.0, 577.0, 434.0, 612.0, 89.0, 612.0], "score": 0.98, "text": "posterior surfaces. The goodness-of ft"}, {"category_id": 15, "poly": [478.0, 577.0, 713.0, 577.0, 713.0, 612.0, 478.0, 612.0], "score": 0.97, "text": "is between 0.85 and 0.97."}, {"category_id": 15, "poly": [91.0, 1338.0, 1024.0, 1338.0, 1024.0, 1372.0, 91.0, 1372.0], "score": 0.97, "text": "with the decreasing of the number of images. The tilt and decentration changed in the range of 1 degree and"}, {"category_id": 15, "poly": [1112.0, 1338.0, 1562.0, 1338.0, 1562.0, 1372.0, 1112.0, 1372.0], "score": 0.99, "text": "respectively. If the erors were neglected in clinical"}, {"category_id": 15, "poly": [89.0, 1023.0, 157.0, 1021.0, 157.0, 1055.0, 89.0, 1057.0], "score": 1.0, "text": "angle is"}, {"category_id": 15, "poly": [175.0, 1023.0, 1552.0, 1021.0, 1552.0, 1055.0, 175.0, 1057.0], "score": 0.98, "text": ". The two relationships display that both oftit and decentration continuously change in cosine law. The IOL tilt and decentration are the maximum values ofthe"}, {"category_id": 15, "poly": [89.0, 1082.0, 419.0, 1082.0, 419.0, 1116.0, 89.0, 1116.0], "score": 0.99, "text": "scanned images, respectively. Figures"}, {"category_id": 15, "poly": [438.0, 1082.0, 1550.0, 1082.0, 1550.0, 1116.0, 438.0, 1116.0], "score": 0.98, "text": "and 7 show that the errors oftit and decentration produced by AS-OCT are large. In fact, each image contains errors. Ifthese"}, {"category_id": 15, "poly": [89.0, 1308.0, 1028.0, 1308.0, 1028.0, 1342.0, 89.0, 1342.0], "score": 0.97, "text": "90 degrees, and 135 degrees) [19], and 5 (five diferent directions) [22], their results are not verified. Table"}, {"category_id": 15, "poly": [1047.0, 1308.0, 1545.0, 1308.0, 1545.0, 1342.0, 1047.0, 1342.0], "score": 0.96, "text": "shows that the IOL tilt and decentration become smaller "}], "page_info": {"page_no": 3, "height": 2339, "width": 1653}}, {"layout_dets": [{"category_id": 1, "poly": [104.5351791381836, 78.89070892333984, 1570.2327880859375, 78.89070892333984, 1570.2327880859375, 1424.9718017578125, 104.5351791381836, 1424.9718017578125], "score": 0.999968409538269}, {"category_id": 13, "poly": [786, 1189, 801, 1189, 801, 1203, 786, 1203], "score": 0.44, "latex": "\\cdot"}, {"category_id": 13, "poly": [804, 1130, 819, 1130, 819, 1145, 804, 1145], "score": 0.42, "latex": "\\cdot"}, {"category_id": 13, "poly": [743, 85, 757, 85, 757, 101, 743, 101], "score": 0.4, "latex": "\\cdot"}, {"category_id": 13, "poly": [1266, 259, 1280, 259, 1280, 274, 1266, 274], "score": 0.34, "latex": "\\cdot"}, {"category_id": 13, "poly": [1036, 259, 1051, 259, 1051, 274, 1036, 274], "score": 0.31, "latex": "\\cdot"}, {"category_id": 13, "poly": [961, 607, 974, 607, 974, 623, 961, 623], "score": 0.31, "latex": "\\cdot"}, {"category_id": 13, "poly": [743, 1071, 757, 1071, 757, 1087, 743, 1087], "score": 0.3, "latex": "\\cdot"}, {"category_id": 13, "poly": [513, 1071, 527, 1071, 527, 1087, 513, 1087], "score": 0.29, "latex": "\\cdot"}, {"category_id": 13, "poly": [959, 1304, 972, 1304, 972, 1319, 959, 1319], "score": 0.26, "latex": "\\cdot"}, {"category_id": 13, "poly": [514, 85, 527, 85, 527, 100, 514, 100], "score": 0.26, "latex": "\\cdot"}, {"category_id": 13, "poly": [1291, 1362, 1304, 1362, 1304, 1379, 1291, 1379], "score": 0.25, "latex": "\\cdot"}, {"category_id": 13, "poly": [875, 1013, 890, 1013, 890, 1029, 875, 1029], "score": 0.25, "latex": "\\cdot"}, {"category_id": 15, "poly": [116.0, 107.0, 1503.0, 107.0, 1503.0, 141.0, 116.0, 141.0], "score": 0.96, "text": "3. 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