Detail publikace

Using GPGPU in MR Data Processing

MIKULKA, J. SLIŽ, J. BARTUŠEK, K.

Originální název

Using GPGPU in MR Data Processing

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The main tissue parameters targeted by MR tomography include, among others, relaxation times T1 and T2. This paper focuses on the computation of the relaxation time T2 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.

Klíčová slova

GPGPU, image processing, T2 relaxation, spin echo, interpolation

Autoři

MIKULKA, J.; SLIŽ, J.; BARTUŠEK, K.

Vydáno

12. 9. 2016

Nakladatel

VUT FEKT UTEE

Místo

Brno

ISBN

9788021453876

Kniha

International Interdisciplinary PhD Workshop 2016 Proceedings

Strany od

102

Strany do

106

Strany počet

5

URL

http://www.utee.feec.vutbr.cz/iiphdw2016/

BibTex

@inproceedings{BUT127764,
  author="Jan {Mikulka} and Jiří {Sliž} and Karel {Bartušek}",
  title="Using GPGPU in MR Data Processing",
  booktitle="International Interdisciplinary PhD Workshop 2016 Proceedings",
  year="2016",
  pages="102--106",
  publisher="VUT FEKT UTEE",
  address="Brno",
  isbn="9788021453876",
  url="http://www.utee.feec.vutbr.cz/iiphdw2016/"
}