research-article

Determination of Computationally Efficient Multi-pool Model Fitting Approach for Pulsed Chemical Exchange Saturation Transfer MRI

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Yee Kai TeeAuthors Info & Claims

ICBBS '19: Proceedings of the 2019 8th International Conference on Bioinformatics and Biomedical Science

Pages 32 - 39

https://doi.org/10.1145/3369166.3369175

Published: 13 January 2020 Publication History

ICBBS '19: Proceedings of the 2019 8th International Conference on Bioinformatics and Biomedical Science

Determination of Computationally Efficient Multi-pool Model Fitting Approach for Pulsed Chemical Exchange Saturation Transfer MRI

Pages 32 - 39

Abstract
References

Abstract

Chemical exchange saturation transfer (CEST) magnetic resonance imaging (MRI) is an emerging imaging technique that detects lowly-concentrated labile protons which can have many potential clinical applications. Multi-pool model fitting is a CEST quantification technique that is able to quantify the pure CEST effect of the individual labile proton pools for a more accurate analysis. However, multi-pool model fitting suffers from long computational times which make it impractical for clinical use. There are two approaches with which multi-pool model fitting may be performed. This study aimed to determine the more efficient approach for the multi-pool model fitting for pulsed CEST MRI. Simulated CEST data using published model parameters were applied to assess the computational efficiency of the different approaches. Both approaches were able to produce equal accuracy but one of them was twice more computationally efficient than the other. However, further work is required to further improve the speed of multi-pool model fitting of pulsed CEST for potential future clinical applications.

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Cited By

Foo LLarkin JSutherland BRay KYap WHum YLai KManan HSibson NTee Y(2020)Study of common quantification methods of amide proton transfer magnetic resonance imaging for ischemic stroke detectionMagnetic Resonance in Medicine10.1002/mrm.2856585:4(2188-2200)Online publication date: 26-Oct-2020
https://doi.org/10.1002/mrm.28565

Index Terms

Determination of Computationally Efficient Multi-pool Model Fitting Approach for Pulsed Chemical Exchange Saturation Transfer MRI
1. Applied computing
  1. Life and medical sciences
    1. Computational biology
      1. Imaging

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ICBBS '19: Proceedings of the 2019 8th International Conference on Bioinformatics and Biomedical Science

October 2019

141 pages

ISBN:9781450372510

DOI:10.1145/3369166

Copyright © 2019 ACM.

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Beijing University of Technology
Harbin Inst. Technol.: Harbin Institute of Technology

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New York, NY, United States

Publication History

Published: 13 January 2020

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National Cancer Council of Malaysia (MAKNA)
UTAR Research Fund (UTARRF)
NVIDIA Corporation

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ICBBS 2019

ICBBS 2019: 2019 8th International Conference on Bioinformatics and Biomedical Science

October 23 - 25, 2019

Beijing, China

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Cited By

Foo LLarkin JSutherland BRay KYap WHum YLai KManan HSibson NTee Y(2020)Study of common quantification methods of amide proton transfer magnetic resonance imaging for ischemic stroke detectionMagnetic Resonance in Medicine10.1002/mrm.2856585:4(2188-2200)Online publication date: 26-Oct-2020
https://doi.org/10.1002/mrm.28565

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