University of Birmingham > Talks@bham > Medical Imaging Research Seminars > Spectral-L1 Method for Inverse Model in Spectrally Constrained Diffuse Optical Tomography

Spectral-L1 Method for Inverse Model in Spectrally Constrained 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 artifacts in the reconstructed images. L1-norm regularization has been widely used in various image processing applications because it can promote sparsity, preserve sharp edges embedded in images and is robust against noise levels. In this talk, I would further validate the performance of L1-norm regularization in spectrally constrained DOT on three dimensional human head model.

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

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