Automatic detection of left ventricular borders on electron beam CT sequential cardiac images using an adaptive algorithm

被引：4

作者：

Herment, A ^{[1
]}

Mousseaux, E ^{[1
]}

Dumee, P ^{[1
]}

Decesare, A ^{[1
]}

机构：

[1] CHU Pitie Salpetriere, INSERM, U494, F-75013 Paris, France

来源：

COMPUTERIZED MEDICAL IMAGING AND GRAPHICS | 1998年 / 22卷 / 04期

关键词：

segmentation; electron beam computerized tomography; cardiac morphology; cardiac function;

D O I：

10.1016/S0895-6111(98)00034-2

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Detection of myocardial borders on sequences of electron beam CT images is carried out using an adaptive segmentation algorithm developed to enhance dynamic analysis of cardiac function. Adaptivity is based on description of the myocardial borders from the mean and standard deviation of the grey level and gradient distributions on each image of the sequence. Comparison of segmentations from five experimentators with automatically determined borders on a set of 416 endocardial and epicardial contours indicated differences between automatic and manual tracing very close to differences due to inter-observer reproducibility. (C) 1998 Elsevier Science Ltd. All rights reserved.

引用

页码：291 / 299

页数：9

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