Automatic screening of polycystic kidney disease in x-ray CT images of laboratory mice
Automatic screening of polycystic kidney disease in x-ray CT images of laboratory mice
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实验小鼠X射线CT图像自动筛查多囊肾病
DOI：
10.1117/12.387747
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发表时间：
2000
期刊：
影响因子：
--
通讯作者：
M. Abidi
中科院分区：
文献类型：
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作者：
S. Gleason;H. Sari;M. Paulus;Dabney K. Johnson;M. Abidi
本文介绍了一种基于几何的可变形模型算法的应用程序的肾脏分割的X射线计算机断层扫描（CT）图像的实验室小鼠。这种分割算法是自动筛选小鼠遗传性多囊肾病（PKD）过程中至关重要的第一步。该算法是基于主动形状模型（ASM）最初开发的Cootes等人。一旦分割完成，纹理测量应用于肾脏边界内检测PKD的存在。与小鼠肾脏（非刚性器官）的分割相关的挑战，并在此应用中使用ASM的动机进行了讨论。此外，对已发布的ASM方法进行了改进，这些方法通常可用于其他分割应用程序。在18个测试案例中的15个中，检测到小鼠肾脏和脊柱，边界位置仅存在微小误差。在其余3例病例中，遗漏了肾脏的一小部分和/或边界无意中包含了一些额外的腹部组织。然而，在所有18个病例中，肾脏都被成功地检测到，其水平可以使用局部方差均值（MOLV）纹理测量自动筛查PKD。摘要的下载仅允许个人使用。
This paper describes the application of a statistical-based deformable model algorithm to the segmentation of kidneys in x-ray computed tomography (CT) images of laboratory mice. This segmentation algorithm has been developed as the crucial first step in a process to automatically screen mice for genetically-induced polycystic kidney disease (PKD). The algorithm is based on active shape models (ASMs) initially developed by Cootes, et al. Once the segmentation is complete, texture measurements are applied within kidney boundaries to detect the presence of PKD. The challenges associated with the segmentation of mouse kidneys (non-rigid organs) are presented, and the motivation for using ASMs in this application is discussed. Also, improvements were made to published ASM methods that may be generally helpful in other segmentation applications. In 15 of the 18 cases tested, the mouse kidneys and spine were detected with only minor errors in boundary position. In the remaining three cases, small parts of the kidneys were missed and/or some extra abdominal tissue was inadvertently included by the boundary. In all 18 cases, however, the kidneys were successfully detected at a level where PKD could be automatically screened for using mean-of-local-variance (MOLV) texture measurements.© (2000) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.