Deformable spatio-temporal shape models: extending active shape models to 2D+time

被引：30
作者：
Hamarneh, G [1 ]
Gustavsson, T
机构：
[1] Simon Fraser Univ, Sch Comp Sci, Burnaby, BC V5A 1S6, Canada
[2] Chalmers Univ Technol, Dept Signals & Syst, SE-41296 Gothenburg, Sweden
来源：
IMAGE AND VISION COMPUTING | 2004年 / 22卷 / 06期
关键词：
deformable models; segmentation; active shape models; spatio-temporal shapes; dynamic programming; echocardiography;
D O I：
10.1016/j.imavis.2003.11.009
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper extends 2D active shape models to 2D + time by presenting a method for modeling and segmenting spatio-temporal shapes (ST-shapes). The modeling part consists of constructing a statistical model of ST-shape parameters. This model describes the principal modes of variation of the ST-shape in addition to constraints on the allowed variations. An active approach is used in segmentation where an initial ST-shape is deformed to better fit the data and the optimal proposed deformation is calculated using dynamic programming. Segmentation results on both synthetic and real data are presented. (C) 2003 Elsevier B.V. All rights reserved.
引用
收藏
页码：461 / 470
页数：10
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