Robust deformable image registration using prior shape information for atlas to patient registration

被引：10

作者：

Ellingsen, Lotta M. ^{[1
]}

Chintalapani, Gouthami ^{[2
]}

Taylor, Russell H. ^{[2
]}

Prince, Jerry L. ^{[1
]}

机构：

[1] Johns Hopkins Univ, Dept Elect & Comp Engn, Baltimore, MD 21218 USA

[2] Johns Hopkins Univ, Dept Comp Sci, Baltimore, MD 21218 USA

来源：

COMPUTERIZED MEDICAL IMAGING AND GRAPHICS | 2010年 / 34卷 / 01期

关键词：

Deformable image registration; Statistical atlas; Topology; Prior shape information; Pelvis; Computed tomography-CT; Point distribution model; Tetrahedral mesh; Principal component analysis-PCA; Surgical planning; NONRIGID REGISTRATION;

D O I：

10.1016/j.compmedimag.2009.05.003

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Statistical atlases enable the individualization of atlas information for patient specific applications such as surgical planning. In this paper, a statistical atlas comprising a point distribution model defined on the vertices of a tetrahedral mesh is registered to a subject's computed tomography scan of the human pelvis. The approach consists of a volumetric deformable registration method augmented to maintain the topology of the atlas mesh after deformation as well as incorporating the dominant three-dimensional shape modes in the atlas. Experimental results demonstrate that incorporation of the statistical shape atlas helps to stabilize the registration and improves robustness and registration accuracy. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：79 / 90

页数：12

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