Fast organ segmentation in CT images with CUDA

Fan Yang; Weiming Zhai; Hong Wang

doi:10.1117/12.832500

30 October 2009 Fast organ segmentation in CT images with CUDA

Fan Yang, Weiming Zhai, Hong Wang

Proceedings Volume 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 749729 (2009) https://doi.org/10.1117/12.832500
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

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.

Citation Download Citation

Fan Yang, Weiming Zhai, and Hong Wang "Fast organ segmentation in CT images with CUDA", Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 749729 (30 October 2009); https://doi.org/10.1117/12.832500

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