Diffuse Optical Imaging Using Optimized Regularization Parameters through U-Curve Method

Nian Du Wu, Min Chun Pan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This study explores and implements the use of the U-curve method to determine the regularization parameter to reconstruct diffuse optical images and use some simulated measurement data to observe the image reconstruction. Some synthesized case examples and experimental ones as well are conducted to verify the performance. uses some simulated measurement data to observe the image reconstruction.

Original languageEnglish
Title of host publication2023 Photonics and Electromagnetics Research Symposium, PIERS 2023 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1892-1894
Number of pages3
ISBN (Electronic)9798350312843
DOIs
StatePublished - 2023
Event2023 Photonics and Electromagnetics Research Symposium, PIERS 2023 - Prague, Czech Republic
Duration: 3 Jul 20236 Jul 2023

Publication series

Name2023 Photonics and Electromagnetics Research Symposium, PIERS 2023 - Proceedings

Conference

Conference2023 Photonics and Electromagnetics Research Symposium, PIERS 2023
Country/TerritoryCzech Republic
CityPrague
Period3/07/236/07/23

Fingerprint

Dive into the research topics of 'Diffuse Optical Imaging Using Optimized Regularization Parameters through U-Curve Method'. Together they form a unique fingerprint.

Cite this