TY  - JOUR
Y1  - 2023///
VL  - 12
JF  - Axioms
A1  - Hussain, A.
A1  - Faye, I.
A1  - Muthuvalu, M.S.
A1  - Tang, T.B.
A1  - Zafar, M.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153596012&doi=10.3390%2faxioms12040326&partnerID=40&md5=d25ee9d036edd1929cdf4510b717abfa
AV  - none
TI  - Advancements in Numerical Methods for Forward and Inverse Problems in Functional near Infra-Red Spectroscopy: A Review
ID  - scholars18650
N1  - cited By 5
N2  - In the field of biomedical image reconstruction, functional near infra-red spectroscopy (fNIRs) is a promising technology that uses near infra-red light for non-invasive imaging and reconstruction. Reconstructing an image requires both forward and backward problem-solving in order to figure out what the imageâ??s optical properties are from the boundary data that has been measured. Researchers are using a variety of numerical methods to solve both the forward and backward problems in depth. This study will show the latest improvements in numerical methods for solving forward and backward problems in fNIRs. The physical interpretation of the forward problem is described, followed by the explanation of the state-of-the-art numerical methods and the description of the toolboxes. A more in-depth discussion of the numerical solution approaches for the inverse problem for fNIRs is also provided. © 2023 by the authors.
IS  - 4
ER  -