CUDA Papers

A collection of research papers and projects utilizing CUDA technology

Tag Archives: Reconstruction

Accelerating Advanced MRI Reconstructions on GPUs

http://impact.crhc.illinois.edu/ftp/conference/cf08.stone.pdf Abstract Computational acceleration on graphics processing units(GPUs) can make advanced magnetic resonance imaging(MRI) reconstruction algorithms attractive in clinical settings,thereby improving the quality of MR images across abroad spectrum of applications. At present, MR imaging isoften limited by high noise levels, signi cant imaging artifacts,and/or long data acquisition (scan) times. Advancedimage reconstruction algorithms can mitigate these […]

Sparse regularization in MRI iterative reconstruction using GPUs

http://impact.crhc.illinois.edu/ftp/conference/xiaolong-2010.pdf Abstract Regularization is a common technique used toimprove image quality in inverse problems such as MR imagereconstruction. In this work, we extend our previous GraphicsProcessing Unit (GPU) implementation of MR imagereconstruction with compensation for susceptibility-induced fieldinhomogeneity effects by incorporating an additional quadraticregularization term. Regularization techniques commonly imposethe prior information that MR images are relatively […]