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Conferences > ECBO > 2017 > PSII > 1041211

Spectrally Constrained L1-Norm Improves Quantitative Accuracy of Diffuse Optical Tomography

Wenqi Lu and Iain B. Styles

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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.

© 2017 SPIE

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