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Abstract #3506

Delta Scan: Reconstruction and Protocol Design for Ultra-fast Longitudinal MRI

Guanhua Wang1, Alessandro Francavilla2, Sen Ma2, Jeffrey Kaditz2, and Thomas Witzel2
1Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States, 2Q Bio, Inc., San Carlos, CA, United States


Delta Scan proposes a joint design of scan protocols and image reconstruction to accelerate longitudinal MRI, using image priors from previous exams. The method models the static and dynamic structural information as two adaptive dictionaries, and optimizes sampling patterns using fully-sampled or mildly undersampled historical scans, via a stochastic optimization approach. Extensive experiments show that the proposed method led to improved reconstruction quality under a high acceleration factor, with reduced resolution loss than conventional compressed sensing-based methods. In comparison with previous reference-based reconstruction methods, the proposed method is less overfitted to past exams, truthfully reflecting the anatomical changes between exams.

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