Abstract #0009

Low Rank plus Sparse Compressed Sensing Reconstruction for PRF Temperature Imaging

Zhipeng Cao^1,2, Sumeeth V. Jonathan^2,3, and William A. Grissom^1,2

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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