INTEGRATED FRAMEWORK FOR SIMULTANEOUS SEGMENTATION AND REGISTRATION OF CARPAL BONES

被引：0

作者：

Chen, Xin ^{[1
]}

Graham, Jim ^{[1
]}

Hutchinson, Charles ^{[2
]}

机构：

[1] Univ Manchester, Sch Canc & Enabling Sci, Oxford Rd, Manchester M13 9PT, Lancs, England

[2] Univ Hosp, Clin Sci Res Inst, Clin Sci Bldg, Coventry CV2 2DX, W Midlands, England

来源：

2011 18TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2011年

基金：

英国医学研究理事会;

关键词：

Carpal bones; Grow Cut; Interactive segmentation; Rigid registration; CUDA programming;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A novel framework is presented in this paper for simultaneous multi-label segmentation and registration of carpal bones which leads to efficient statistical model building. It combines the Grow Cut segmentation algorithm with rigid image registration for propagating the segmentation of bones to new poses or different individuals. The proposed framework compares favourably to the conventional segmentation and nonrigid registration methods, in terms of flexibility and computational time, for our CT data of carpal bones. The segmentation code was implemented in a GPU, running about 15 times faster than CPU code.

引用

页码：433 / 436

页数：4

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