MATH Seminar

Title: Computational Radiology: Rank-Sparsity Model and Photon Transport
Colloquium: N/A
Speaker: Hao Gao of UCLA
Contact: James Nagy, nagy@mathcs.emory.edu
Date: 2012-02-23 at 4:00PM
Venue: MSC W201
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Abstract: Computational radiology is a new interdisciplinary synergy between computational sciences and radiology. This talk will introduce two such examples: rank-sparsity model and photon transport. The former applies to dynamic or multi-spectral problems for compressive image reconstruction (e.g., cine MRI, 4D CT, multi-energy CT, and multimodal reconstruction) or robust image analysis (e.g., classification, change detection, feature recognition, and multimodal registration), which is often treated as a model-based inverse problem solved through optimization and numerical linear algebra techniques. The latter is the forward model of light propagation in scattering media (e.g., optical imaging, photoacoustic imaging, fluorescence imaging, and bioluminescence imaging), an integro-differential equation with 3 spatial dimensions and 2 angular dimensions. To meet the practical need, the rapid solutions of such large-scale problems propose the new challenges for numerical PDE and parallel computing.