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Hardware Accelerated Rician Denoise Algorithm for High Performance Magnetic Resonance Imaging
 
E. Sotiriou-Xanthopoulos, S. Xydis, K. Siozios, G. Economakos and D. Soudris
International Conference on Wireless Mobile Communication and Healthcare (MOBIHEALTH), pp. 222-225, Nov. 2014, Athens, Greece.
 
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Abstract:
Rician denoising is a mandatory task of Magnetic Resonance Imaging (MRI), as it enables higher-quality image processing, which is crucial for correct diagnosis. However, denoising is a slow task, especially because of the increased image resolution and the need for high image clarity. A solution towards this need is the implementation of rician denoise algorithm onto hardware. In this paper, we propose a hardware implementation of rician denoise, which processes the MR image into segments in a pipelined manner, while avoiding further processing on already denoised pixels of the image. Using a synthetic MRI scan separated into 16 segments, the proposed implementation achieves a speedup of 6.8x with comparable image quality, as compared to a software-only approach running on Intel Core2Duo.

Last Update: 09 October 2016