TY - GEN
T1 - GPU-based motion correction of contrast-enhanced liver MRI scans
T2 - 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11
AU - Oh, Jihun
AU - Martin, Diego
AU - Škrinjar, Oskar
PY - 2011
Y1 - 2011
N2 - Clinical diagnosis and quantification of liver disease have been improved through the development of techniques using contrast-enhanced liver MRI sequences. To qualitatively or quantitatively analyze such image sequences, one first needs to correct for rigid and non-rigid motion of the liver. For motion correction of the liver, we have employed bi-directional local correlation coefficient Demons, which is a variation of the original Demons method. However, despite the intrinsic speed of the Demons method, the run-time on the order of an hour of its CPU-based implementation is not sufficiently short for a regular clinical use. For this reason we implemented the method on a graphics processing unit (GPU) using OpenCL. On NVIDIA GTX 260M, which is a laptop GPU, we achieved sub-minute runtime for the motion correction of typical liver MRI scans, which was 50 times faster than its CPU-based implementation. A sub-minute runtime of liver MRI motion correction allows for its regular clinical use.
AB - Clinical diagnosis and quantification of liver disease have been improved through the development of techniques using contrast-enhanced liver MRI sequences. To qualitatively or quantitatively analyze such image sequences, one first needs to correct for rigid and non-rigid motion of the liver. For motion correction of the liver, we have employed bi-directional local correlation coefficient Demons, which is a variation of the original Demons method. However, despite the intrinsic speed of the Demons method, the run-time on the order of an hour of its CPU-based implementation is not sufficiently short for a regular clinical use. For this reason we implemented the method on a graphics processing unit (GPU) using OpenCL. On NVIDIA GTX 260M, which is a laptop GPU, we achieved sub-minute runtime for the motion correction of typical liver MRI scans, which was 50 times faster than its CPU-based implementation. A sub-minute runtime of liver MRI motion correction allows for its regular clinical use.
KW - contrast-enhanced liver MRI
KW - Demons
KW - GPU
KW - graphics processing unit
KW - image registration
KW - OpenCL
UR - http://www.scopus.com/inward/record.url?scp=80055045994&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80055045994&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2011.5872522
DO - 10.1109/ISBI.2011.5872522
M3 - Conference contribution
AN - SCOPUS:80055045994
SN - 9781424441280
T3 - Proceedings - International Symposium on Biomedical Imaging
SP - 783
EP - 786
BT - 2011 8th IEEE International Symposium on Biomedical Imaging
Y2 - 30 March 2011 through 2 April 2011
ER -