Research Article
Hardware Accelerated Rician Denoise Algorithm for High Performance Magnetic Resonance Imaging
@INPROCEEDINGS{10.4108/icst.mobihealth.2014.257361, author={Efstathios Sotiriou-Xanthopoulos and Sotirios Xydis and Kostas Siozios and George Economakos and Dimitrios Soudris}, title={Hardware Accelerated Rician Denoise Algorithm for High Performance Magnetic Resonance Imaging}, proceedings={4th International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies"}, publisher={IEEE}, proceedings_a={MOBIHEALTH}, year={2014}, month={12}, keywords={magnetic resonance imaging rician denoise hardware acceleration high performance}, doi={10.4108/icst.mobihealth.2014.257361} }- Efstathios Sotiriou-Xanthopoulos
Sotirios Xydis
Kostas Siozios
George Economakos
Dimitrios Soudris
Year: 2014
Hardware Accelerated Rician Denoise Algorithm for High Performance Magnetic Resonance Imaging
MOBIHEALTH
IEEE
DOI: 10.4108/icst.mobihealth.2014.257361
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.