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Proceedings Paper

Fast organ segmentation in CT images with CUDA
Author(s): Fan Yang; Weiming Zhai; Hong Wang
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Paper Abstract

In this paper, we introduce a parallel algorithm to implement the Region Growing algorithms in GPU, with the purpose of 3D organ segmentation. Extensive Experiments have been executed on human CT Data, and these experiments show that the algorithms obtain accurate results with a speed about 10-20 times faster than the traditional methods on CPU. Several improvements to the traditional region growing algorithms are also introduced in this paper. This method is integrated in several surgery planning and surgery navigation systems and has achieved good clinical results.

Paper Details

Date Published: 30 October 2009
PDF: 5 pages
Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 749729 (30 October 2009); doi: 10.1117/12.832500
Show Author Affiliations
Fan Yang, Tsinghua Univ. (China)
Weiming Zhai, Tsinghua Univ. (China)
Hong Wang, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 7497:
MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques
Faxiong Zhang; Faxiong Zhang, Editor(s)

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