中国数字医学
中國數字醫學
중국수자의학
CHINA DIGITAL MEDICINE
2013年
11期
62-65
,共4页
肾小管%目标识别%自动追踪%连续切片
腎小管%目標識彆%自動追蹤%連續切片
신소관%목표식별%자동추종%련속절편
tubules%target recognition%auto tracing%serial sections
目的:组织或器官微细结构的三维构建一直以来就是医学形态学研究的重要手段。之前的工作已经可以建立组织三维结构,但都通过人工方法处理,费时费力且不能大量构建目标区域。对小鼠肾显微切片小管区域自动识别进行探索,为目标自动追踪打下基础。方法:通过标准连续切片制作和染色方法,并拍照获得肾小管显微图像。对图像进行预处理、二值化、边缘检测、形态学操作、空洞清除、边界识别检测出肾小管边界的位置,从而对肾小管区域进行识别。结果:通过30张图片进行形态学专家人工辨识对比,设计的方法总体准确率在87%。漏检主要存在于小管弯折和过细部位,误检主要存在于肾小球附近。结论:作为肾小管自动追踪和三维重建工作的一部分,证实了自动提取目标区域的可行性,为肾小管的自动跟踪及三维重建做前期工作。
目的:組織或器官微細結構的三維構建一直以來就是醫學形態學研究的重要手段。之前的工作已經可以建立組織三維結構,但都通過人工方法處理,費時費力且不能大量構建目標區域。對小鼠腎顯微切片小管區域自動識彆進行探索,為目標自動追蹤打下基礎。方法:通過標準連續切片製作和染色方法,併拍照穫得腎小管顯微圖像。對圖像進行預處理、二值化、邊緣檢測、形態學操作、空洞清除、邊界識彆檢測齣腎小管邊界的位置,從而對腎小管區域進行識彆。結果:通過30張圖片進行形態學專傢人工辨識對比,設計的方法總體準確率在87%。漏檢主要存在于小管彎摺和過細部位,誤檢主要存在于腎小毬附近。結論:作為腎小管自動追蹤和三維重建工作的一部分,證實瞭自動提取目標區域的可行性,為腎小管的自動跟蹤及三維重建做前期工作。
목적:조직혹기관미세결구적삼유구건일직이래취시의학형태학연구적중요수단。지전적공작이경가이건립조직삼유결구,단도통과인공방법처리,비시비력차불능대량구건목표구역。대소서신현미절편소관구역자동식별진행탐색,위목표자동추종타하기출。방법:통과표준련속절편제작화염색방법,병박조획득신소관현미도상。대도상진행예처리、이치화、변연검측、형태학조작、공동청제、변계식별검측출신소관변계적위치,종이대신소관구역진행식별。결과:통과30장도편진행형태학전가인공변식대비,설계적방법총체준학솔재87%。루검주요존재우소관만절화과세부위,오검주요존재우신소구부근。결론:작위신소관자동추종화삼유중건공작적일부분,증실료자동제취목표구역적가행성,위신소관적자동근종급삼유중건주전기공작。
Objective: Three-dimensional(3-D)reconstruction for fine structure of tissue or organ is an important method for morphology study in medicine. 3-D structure has been established in previous work, It is time-consuming and tedious as the procedure is all done manually. In this study, automatic tubules segmentation is studied for automatic tracing. Methods: Kidney sections are processed in a standard sectioning and staining procedure, the captured by a microscope. These images are processed under binarization, edge detection, morphological operations, hole-remove, boundary identification to detect tubular position. Results: 30 images are used to test accuracy rate. Images are identified by morphology experts, and then recognized in this proposed method. The overall accuracy rate is 87%. Undetected tubules are mainly bend or too tiny;false detection are mainly near glomerular. Conclusions:As a part job of automat tracking and three-dimensional reconstruction of tubular, this article is the preliminary work and confirmed the feasibility of automatic extraction of the target tubular.