HyperLink   More IMPATIENT : A Gridding - Accelerated Toeplitz - based S trategy for Non - Cartesian High - Resolution 3D MRI on GPU
   
Publication Year:
  2012
Authors
  Jiading Gai, Joseph L. Holtrop, Xiao-Long Wu, Fan Lam, Maojing Fu, Justin P. Haldar, Wen-mei Hwu, Zhi-Pei Liang, Bradley P. Sutton
   
Published:
  Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), May 2012
   
Abstract:

We further accelerate the Illinois Massively Parallel Acceleration Toolkit for Image reconstruction with ENhanced Throughput in MRI (IMPATIENT MRI) package to approach clinically-acceptable times while still taking advantage of a variety of advanced image acquisitions and reconstruction techniques. The improved IMPATIENT implemented a faster Toeplitz-based iterative image reconstruction method, whose computation time is further reduced by an optimally tuned, GPU- accelerated gridding implementation. We demonstrate that the Toeplitz code running on a NVIDIA Tesla C1060 (field-corrected, SENSE) can reduce a one-week long, non-Cartesian 3D 1mm3 high-resolution, whole brain DTI reconstruction (4-channel acquisition) to 4.3 hours. These improvements will enable advances in 3D non- Cartesian sequences, such as cones and stacks of spirals.