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Proceedings Paper

Spectrally constrained L1-norm improves quantitative accuracy of diffuse optical tomography
Author(s): Wenqi Lu; Iain B. Styles
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Paper 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.

Paper Details

Date Published: 28 July 2017
PDF: 3 pages
Proc. SPIE 10412, Diffuse Optical Spectroscopy and Imaging VI, 1041211 (28 July 2017); doi: 10.1117/12.2285996
Show Author Affiliations
Wenqi Lu, Univ. of Birmingham (United Kingdom)
Iain B. Styles, Univ. of Birmingham (United Kingdom)

Published in SPIE Proceedings Vol. 10412:
Diffuse Optical Spectroscopy and Imaging VI
Hamid Dehghani; Heidrun Wabnitz, Editor(s)

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