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

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.