Title :
Accelerating regularized iterative ct reconstruction on commodity graphics hardware (GPU)
Author :
Xu, Wei ; Mueller, Klaus
Author_Institution :
Comput. Sci. Dept., Stony Brook Univ., Stony Brook, NY, USA
fDate :
June 28 2009-July 1 2009
Abstract :
Iterative reconstruction algorithms augmented with regularization can produce high-quality reconstructions from few views and even in the presence of significant noise. In this paper we focus on the particularities associated with the GPU acceleration of these. First, we introduce the idea of using exhaustive benchmark tests to determine the optimal settings of various parameters in iterative algorithm, here OS-SIRT, which proofs decisive for obtaining optimal GPU performance. Then we introduce bilateral filtering as a viable and cost-effective means for regularization, and we show that GPU-acceleration reduces its overhead to very moderate levels.
Keywords :
computer graphics; computerised tomography; image reconstruction; iterative methods; medical image processing; GPU acceleration; OS-SIRT; bilateral filtering; commodity graphics hardware; overhead reduction; regularized iterative CT reconstruction; Acceleration; Benchmark testing; Computed tomography; Computer graphics; Computer science; Filters; Hardware; Image reconstruction; Iterative algorithms; Reconstruction algorithms; Bilateral Filter; Computed Tomography; GPU; Iterative Reconstruction; Ordered Subsets;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-3931-7
Electronic_ISBN :
1945-7928
DOI :
10.1109/ISBI.2009.5193298