Accelerating Fuzzy Adaptive Anisotropic Diffusion on GPU

摘要：

A new filtering method to remove Rician noise from magnetic resonance images is presented, while harnessing the powerful computational resources of GPUs. In this filter, the direction of diffusion and the characters of different kinds of pixel in noisy MR images are characterized by the eigenvector and eigenvalues of structure tensor. In order to enhance edges, the shock filter based on fuzzy sets is coupled to it. This model can be performed in a memory and computation-efficient way on modern programmable GPUs, which can be regarded as massively parallel coprocessors through NVidia’s CUDA compute paradigm. We achieve considerable speedups compared to an optimized GPU implementation and CPU methods for 2D MR image.

关键词： diffusion tensor structure tensor multicore processor CUDA GPU.

作者: Lian Yuanfeng Zhao Yan

作者单位: School of Instrumentation Science and Opto-electronic Engineering,Beijing University of Aeronautics and Astronautics,Beijing 100191,China

会议类型: 国际会议

会议名称: 2011 10th International Conference on Electronic Measurement & Instruments(第十届电子测量与仪器国际会议 ICEMI2011)

会议地点: 成都

会议语种:英文

页码: 1275-1280

在线出版日期: 2011-08-16（万方平台首次上网日期，不代表论文的发表时间）