University of Birmingham > Talks@bham > Medical Imaging Research Seminars > L1 Regularisation Based Nonlinear Reconstruction for Spectral Diffuse Optical Tomography

L1 Regularisation Based Nonlinear Reconstruction for Spectral Diffuse Optical Tomography

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If you have a question about this talk, please contact Matthaios Doulgerakis.

Spectrally constrained diffuse optical tomography (DOT) imaging approach couples the underlying optical properties across multiple wavelengths and can thereby suppress artefacts in the resulting reconstructed images. On the other hand, L1-norm regularisation has been widely used in various image processing applications due to its outstanding capability of promoting sparsity and preserving sharp edges embedded in images as well as its robustness against noise levels. This talk introduces L1 regularisation of spectrally constrained DOT using three popular algorithms: IRLS , ADMMM, and FISTA and compares the performance of different regularisations and algorithms using the simulated multispectral examples in either two-dimensional or three-dimensional spaces.

This talk is part of the Medical Imaging Research Seminars series.

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