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Using GPGPU in MR Data Processing
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SYSNO ASEP 0506976 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Using GPGPU in MR Data Processing Author(s) Mikulka, J. (CZ)
Slíž, J. (CZ)
Bartušek, Karel (UPT-D) RID, ORCID, SAINumber of authors 3 Source Title International Interdisciplinary PhD Workshop. Proceedings. - Brno : VUT Brno, 2016 - ISBN 978-80-214-5387-6 Pages s. 102-106 Number of pages 5 s. Publication form Print - P Action International Interdisciplinary PhD Workshop Event date 12.09.2016 - 15.09.2016 VEvent location Brno Country CZ - Czech Republic Event type WRD Language eng - English Country CZ - Czech Republic Keywords GPGPU ; data processing Subject RIV BH - Optics, Masers, Lasers OECD category Radiology, nuclear medicine and medical imaging Institutional support UPT-D - RVO:68081731 UT WOS 000391280700021 Annotation The main tissue parameters targeted by MR tomography include, among others, relaxation times T-1 and T-2. This paper focuses on the computation of the relaxation time T-2 measured with the Spin Echo method. The maxima of measured echoes must be interleaved with an exponential function to compute the T2 relaxation. As this procedure needs to be repeated for each pixel of the scanned tissue, the processing of large images then becomes very intensive. This paper introduces the results provided by accelerated computation based on parallelization and carried out with a graphics card. By using the simple method of linear regression, we obtain a processing time of less than 36 ms. In the case of the Levenberg-Marquardt algorithm, the reconstruction was done in 96 ms. This period is at least 900 times shorter than that achievable with professional software. Workplace Institute of Scientific Instruments Contact Martina Šillerová, sillerova@ISIBrno.Cz, Tel.: 541 514 178 Year of Publishing 2020
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