Computational Imaging and Inverse Problems

Research Areas -> Signal and Image Processing -> Computational Imaging and Inverse Problems
 
Overview
The latest medical imaging, radar imaging and microscopy systems rely heavily on the availability of fast computational signal and image processing algorithms. These algorithms include image reconstruction, image restoration, multimodality image registration, tracking, detection and classification. Our activities span a large range of medical imaging modalities (MRI, X-ray CT, PET, SPECT, ultrasound) and radar modalities (surface-penetrating radar, hyperpsectral radar, imaging radar). Both model-based and data-driven methods are being investigated in the areas of iterative image reconstruction and multi-modality image registration. Much of the work in this area is being done in collaboration with the UM Medical Center and the UM Radiation Laboratory.
 
Faculty
Fessler, Jeffrey A.
Hero, Alfred O.
Munson Jr., David C.
Scott, Clayton D
Yagle, Andrew E


Related Labs, Centers, and Groups
Systems Laboratory


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