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Abstract #4199

Compressed Sensing with Prior Information for Time-Resolved TurboSPI

James A. Rioux1, 2, Steven D. Beyea2, 3, Chris V. Bowen2, 3

1Department of Physics, Dalhousie University, Halifax, Nova Scotia, Canada; 2Institute for Biodiagnostics (Atlantic), National Research Council, Halifax, Nova Scotia, Canada; 3Departments of Physics, Radiology and Biomedical Engineering, Dalhousie University, Halifax, Nova Scotia, Canada

TurboSPI can be used to acquire a time series of images suitable for high temporal resolution relaxometry, but must be significantly accelerated to permit applications such as cellular imaging in vivo. The acquisition of a matched Fast Spin Echo image provides prior information to further sparsify the reconstructed image. We compare two approaches to incorporating this prior information, and show that a modified-CS reconstruction using the known support of the FSE template allows acceleration factors of up to 30 while retaining high image quality throughout the time series.