DocumentCode
3503428
Title
Impatient MRI: Illinois Massively Parallel Acceleration Toolkit for image reconstruction with enhanced throughput in MRI
Author
Wu, Xiao-Long ; Gai, Jiading ; Lam, Fan ; Fu, Maojing ; Haldar, Justin P. ; Zhuo, Yue ; Liang, Zhi-Pei ; Hwu, Wen-Mei ; Sutton, Bradley P.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
fYear
2011
fDate
March 30 2011-April 2 2011
Firstpage
69
Lastpage
72
Abstract
Much progress has been made in the design of efficient acquisition trajectories for high spatial and temporal resolution in magnetic resonance imaging (MRI). Additionally, significant developments in image reconstruction have enabled the reconstruction of reasonable images from massively undersampled or noisy data that is corrupted by a variety of physical effects, including magnetic field inhomogeneity. Translation of these techniques into clinical imaging has been impeded by the need for expertise and computational facilities to realize the potential of these methods. We present the Illinois Massively Parallel Acceleration Toolkit for Image reconstruction with ENhanced Throughput in MRI (IMPATIENT MRI), a reconstruction utility that enables advanced techniques within clinically relevant computation times by using the computational power available in low-cost graphics processing cards.
Keywords
biomedical MRI; image reconstruction; medical image processing; IMPATIENT MRI; Illinois Massively Parallel Acceleration Toolkit; acquisition trajectories; clinical imaging; enhanced throughput; graphics processing cards; image reconstruction; magnetic field inhomogeneity; Graphics processing unit; Image reconstruction; Kernel; Magnetic resonance imaging; Nonhomogeneous media; Sparse matrices; field inhomogeneity; graphics processing cards; image regularization; magnetic resonance imaging;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on
Conference_Location
Chicago, IL
ISSN
1945-7928
Print_ISBN
978-1-4244-4127-3
Electronic_ISBN
1945-7928
Type
conf
DOI
10.1109/ISBI.2011.5872356
Filename
5872356
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