fessler-small
(734) 763-1434
Applications: Medicine Methodologies: Convex Optimization, Dictionary Learning, Large-scale Inverse Problems, Sparse Representation Relevant Projects: UM-STJU project on Ultra-low-dose CT image reconstruction using big data priors.

Jeff Fessler

Professor, Electrical Engineering and Computer Science

Affiliation(s):

Biomedical Engineering, Radiology

My research group develops models and algorithms for large-scale inverse problems, especially image reconstruction for X-ray CT and MRI.  The models include those based on sparsity using dictionaries learned from large-scale data sets.  Developing efficient and accurate methods for dictionary learning is a recent focus.

For a summary of how model-based image reconstruction methods lead to improved image quality and/or lower X-ray doses, see: http://web.eecs.umich.edu/~fessler/re

For a summary of how model-based image reconstruction methods lead to improved image quality and/or lower X-ray doses, see: http://web.eecs.umich.edu/~fessler/re