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Abstract #0009

Low Rank plus Sparse Compressed Sensing Reconstruction for PRF Temperature Imaging

Zhipeng Cao1,2, Sumeeth V. Jonathan2,3, and William A. Grissom1,2

1Biomedical Engineernig, Vanderbilt University, Nashville, TN, United States, 2Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States, 3Radiology, Vanderbilt University, Nashville, TN, United States

A novel compressed sensing reconstruction method based on L+S separation on complex difference image domain data is demonstrated to perform better than existing methods on major applications in RF heating monitoring and MR guided focused ultrasound intervention.

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