Spectrally constrained L1-norm improves quantitative accuracy of diffuse optical tomography

Wenqi Lu, Iain B. Styles

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

Abstract

We consider L1-regularization of spectrally constrained DOT. Three popular algorithms are investigated: iteratively reweighted least square algorithm (IRLS), alternating directional method of multipliers (ADMM) and fast iterative shrinkage-thresholding algorithm (FISTA). We evaluate different regularizers and algorithms on a 3D simulated multi-spectral example.
Original languageEnglish
Title of host publication Proceedings of SPIE 10412 Diffuse Optical Spectroscopy and Imaging VI,-
PublisherSociety of Photo-Optical Instrumentation Engineers
DOIs
Publication statusPublished - 28 Jul 2017
Externally publishedYes

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