Measuring biological shape using geometry-based shape transformations

被引：23

作者：

Davatzikos, C

机构：

[1] Johns Hopkins Univ, Sch Med, Dept Radiol, Baltimore, MD 21287 USA

[2] Johns Hopkins Univ, Sch Med, Dept Comp Sci, Baltimore, MD 21287 USA

来源：

IMAGE AND VISION COMPUTING | 2001年 / 19卷 / 1-2期

关键词：

biological shape analysis; geometry-based shape transformations; deformation-based morphometry; shape correspondence;

D O I：

10.1016/S0262-8856(00)00056-1

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 presents a methodology for shape analysis of anatomical structures. A template shape is used as a unit, and a shape transformation mapping the template to a particular structure is used to quantify the shape of the structure with respect to the template. The geometric characteristics of the boundaries of the template and the individual structure are used to define point correspondences between the template and the structure. These correspondences are then used to determine the shape transformation, which is based on an elastic adaptation of the template. Regional inter-subject and inter-population shape differences are then identified by comparing the corresponding shape transformations point-wise. Validation using simulation experiments is also presented. (C) 2001 Elsevier Science B.V. All rights reserved.

引用

页码：63 / 74

页数：12

共 54 条

[1]

ALEXANDER DC, 1999, P INT WORKSH BIOM IM, P127

[2]

[Anonymous], P IEEE NUCL SCI S ME

[3] MULTIRESOLUTION ELASTIC MATCHING [J].