A cost function approach for the analysis of time-resolved functional near-infrared spectroscopy (TR fNIRS) signals

Junwoo Kim, Dug Young Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Functional near-infrared spectroscopy (fNIRS) is a powerful clinical tool for monitoring hemoglobin concentration in brain tissues by analyzing absorption of scattered light. Since human brain is composed of multilayers including scalp, skull, and cerebral cortex, fNIRS signals need be analyzed with a multilayer tissue model. However, retrieving the optical properties of a multilayer tissue is often difficult because nonlinear fitting of absorption parameters from a scattered light signal by a tissue is ill-posed especially when the signal level is low. In this paper we introduce the cost function based masking technique for effective error minimization in the nonlinear fitting of fNIRS signals. We have shown that this method effectively reduces the influences of measurement errors with a newly defined cost function. Numerically simulated fNIRS data were generated for a two-layered tissue model and are used to extract the optical parameters of the two-layered tissue model. Accuracies of extracted parameters were compared with and without our proposed cost function.

Original languageEnglish
Title of host publicationDynamics and Fluctuations in Biomedical Photonics XV
EditorsValery V. Tuchin, Ruikang K. Wang, Martin J. Leahy, Valery V. Tuchin, Kirill V. Larin
PublisherSPIE
ISBN (Electronic)9781510614710
DOIs
Publication statusPublished - 2018
EventDynamics and Fluctuations in Biomedical Photonics XV 2018 - San Francisco, United States
Duration: 2018 Jan 282018 Jan 29

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume10493
ISSN (Print)1605-7422

Other

OtherDynamics and Fluctuations in Biomedical Photonics XV 2018
CountryUnited States
CitySan Francisco
Period18/1/2818/1/29

Bibliographical note

Funding Information:
This work was financially supported by the National Research Foundation of Korea (NRF-2013R1A1A2062448) through the Basic Science Research Program, Global Frontier Project (CAMM-2014M3A6B3063712), the Ministry of Science and ICT of Korea, Technology Innovation Program (10062417), and the Ministry of Trade, Industry and Energy of Korea.

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

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