Abstract #2546

Accelerating Compressed Sensing MRI Reconstruction with GPU Computing

David S. Smith^1,2, John C. Gore^1,2, Edward Brian Welch^1,2

¹Radiology & Radiological Sciences, Vanderbilt University, Nashville, TN, United States; ²Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States

We show that compressed sensing MRI reconstruction using a Cartesian split Bregman solver can be dramatically accelerated using GPU computing. We find a factor of ~30 speedup for images of square dimension 512 and higher on a system based on an NVIDIA Tesla C2050 GPU card and Accelereye's Jacket GPU wrapper for MATLAB.