Fast parallel analysis of Dynamic Contrast-Enhanced Magnetic Resonance Imaging on GPGPU

Ta Kang Yen; Bo-Cheng Lai

doi:10.1109/COMPSYM.2010.5685379

Fast parallel analysis of Dynamic Contrast-Enhanced Magnetic Resonance Imaging on GPGPU

Ta Kang Yen^*, Bo-Cheng Lai

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) is adopted as an important diagnostic method to photograph organs in a body. However, its long analysis time prevents doctors from performing timely diagnosis and treatment. This paper proposes a parallel implementation of DCE-MRI analysis which exposes the parallelism of the fitting procedure. The implementation is mapped and executed on GPGPUs. When compared with the original sequential analysis procedure, we are able to speed up the analysis runtime by 125X.

Original language	English
Title of host publication	ICS 2010 - International Computer Symposium
Pages	927-931
Number of pages	5
DOIs	https://doi.org/10.1109/COMPSYM.2010.5685379
State	Published - 1 Dec 2010
Event	2010 International Computer Symposium, ICS 2010 - Tainan, Taiwan Duration: 16 Dec 2010 → 18 Dec 2010

Publication series

Name	ICS 2010 - International Computer Symposium

Conference

Conference	2010 International Computer Symposium, ICS 2010
Country/Territory	Taiwan
City	Tainan
Period	16/12/10 → 18/12/10

Keywords

GPGPU
MRI
Parallel processing

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10.1109/COMPSYM.2010.5685379

Cite this

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title = "Fast parallel analysis of Dynamic Contrast-Enhanced Magnetic Resonance Imaging on GPGPU",

abstract = "Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) is adopted as an important diagnostic method to photograph organs in a body. However, its long analysis time prevents doctors from performing timely diagnosis and treatment. This paper proposes a parallel implementation of DCE-MRI analysis which exposes the parallelism of the fitting procedure. The implementation is mapped and executed on GPGPUs. When compared with the original sequential analysis procedure, we are able to speed up the analysis runtime by 125X.",

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N2 - Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) is adopted as an important diagnostic method to photograph organs in a body. However, its long analysis time prevents doctors from performing timely diagnosis and treatment. This paper proposes a parallel implementation of DCE-MRI analysis which exposes the parallelism of the fitting procedure. The implementation is mapped and executed on GPGPUs. When compared with the original sequential analysis procedure, we are able to speed up the analysis runtime by 125X.

AB - Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) is adopted as an important diagnostic method to photograph organs in a body. However, its long analysis time prevents doctors from performing timely diagnosis and treatment. This paper proposes a parallel implementation of DCE-MRI analysis which exposes the parallelism of the fitting procedure. The implementation is mapped and executed on GPGPUs. When compared with the original sequential analysis procedure, we are able to speed up the analysis runtime by 125X.

KW - GPGPU

KW - MRI

KW - Parallel processing

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Y2 - 16 December 2010 through 18 December 2010

ER -

Fast parallel analysis of Dynamic Contrast-Enhanced Magnetic Resonance Imaging on GPGPU

Abstract

Publication series

Conference

Keywords

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