Least Square QR Decomposition Method for Solving the Inverse Problem in Functional Near Infra-Red Spectroscopy

Functional near infra-red spectroscopy (fNIRs) with near infra-red light have been active research areas for both clinical and pre-clinical applications for more than three decades. The development of more advanced image reconstruction methods is required to improve the accuracy fNIRs of complex tis...

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Main Authors: Hussain, A., Faye, I., Muthuvalu, M.S., Tong Boon, T.
Format: Conference or Workshop Item
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.29173 /
Published: Institute of Electrical and Electronics Engineers Inc. 2021
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124417391&doi=10.1109%2fSCOReD53546.2021.9652700&partnerID=40&md5=d459d260c4cc5a441abd621ddc891992
http://eprints.utp.edu.my/29173/
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spelling utp-eprints.291732022-03-25T01:04:18Z Least Square QR Decomposition Method for Solving the Inverse Problem in Functional Near Infra-Red Spectroscopy Hussain, A. Faye, I. Muthuvalu, M.S. Tong Boon, T. Functional near infra-red spectroscopy (fNIRs) with near infra-red light have been active research areas for both clinical and pre-clinical applications for more than three decades. The development of more advanced image reconstruction methods is required to improve the accuracy fNIRs of complex tissue structures. In this paper, the least square QR decomposition (LSQR) method for solving the inverse problem has been implemented for real fNIRs data based on working memory (WM). The sensitivity matrix is being generated using the Monte Carlo (MC) simulation. For image reconstruction, the numerical algorithm for the LSQR method is created and implemented in MATLAB. Lastly, the variation of oxy and deoxy haemoglobin levels is monitored based on absorption changes, and the findings obtained using the LSQR regularization method are in good agreement with the real fNIRs WM data. © 2021 IEEE. Institute of Electrical and Electronics Engineers Inc. 2021 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124417391&doi=10.1109%2fSCOReD53546.2021.9652700&partnerID=40&md5=d459d260c4cc5a441abd621ddc891992 Hussain, A. and Faye, I. and Muthuvalu, M.S. and Tong Boon, T. (2021) Least Square QR Decomposition Method for Solving the Inverse Problem in Functional Near Infra-Red Spectroscopy. In: UNSPECIFIED. http://eprints.utp.edu.my/29173/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Functional near infra-red spectroscopy (fNIRs) with near infra-red light have been active research areas for both clinical and pre-clinical applications for more than three decades. The development of more advanced image reconstruction methods is required to improve the accuracy fNIRs of complex tissue structures. In this paper, the least square QR decomposition (LSQR) method for solving the inverse problem has been implemented for real fNIRs data based on working memory (WM). The sensitivity matrix is being generated using the Monte Carlo (MC) simulation. For image reconstruction, the numerical algorithm for the LSQR method is created and implemented in MATLAB. Lastly, the variation of oxy and deoxy haemoglobin levels is monitored based on absorption changes, and the findings obtained using the LSQR regularization method are in good agreement with the real fNIRs WM data. © 2021 IEEE.
format Conference or Workshop Item
author Hussain, A.
Faye, I.
Muthuvalu, M.S.
Tong Boon, T.
spellingShingle Hussain, A.
Faye, I.
Muthuvalu, M.S.
Tong Boon, T.
Least Square QR Decomposition Method for Solving the Inverse Problem in Functional Near Infra-Red Spectroscopy
author_sort Hussain, A.
title Least Square QR Decomposition Method for Solving the Inverse Problem in Functional Near Infra-Red Spectroscopy
title_short Least Square QR Decomposition Method for Solving the Inverse Problem in Functional Near Infra-Red Spectroscopy
title_full Least Square QR Decomposition Method for Solving the Inverse Problem in Functional Near Infra-Red Spectroscopy
title_fullStr Least Square QR Decomposition Method for Solving the Inverse Problem in Functional Near Infra-Red Spectroscopy
title_full_unstemmed Least Square QR Decomposition Method for Solving the Inverse Problem in Functional Near Infra-Red Spectroscopy
title_sort least square qr decomposition method for solving the inverse problem in functional near infra-red spectroscopy
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2021
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124417391&doi=10.1109%2fSCOReD53546.2021.9652700&partnerID=40&md5=d459d260c4cc5a441abd621ddc891992
http://eprints.utp.edu.my/29173/
_version_ 1741197200014180352
score 11.62408

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