Using GPGPU in MR Data Processing

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F16%3A00506976" target="_blank" >RIV/68081731:_____/16:00506976 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216305:26220/16:PU120120

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Using GPGPU in MR Data Processing

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Using GPGPU in MR Data Processing

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

30224 - Radiology, nuclear medicine and medical imaging

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

International Interdisciplinary PhD Workshop. Proceedings

ISBN

978-80-214-5387-6

ISSN

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e-ISSN

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Počet stran výsledku

5

Strana od-do

102-106

Název nakladatele

VUT Brno

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

12. 9. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000391280700021