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.
Original language | English (US) |
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Title of host publication | 2011 8th IEEE International Symposium on Biomedical Imaging |
Subtitle of host publication | From Nano to Macro, ISBI'11 |
Pages | 69-72 |
Number of pages | 4 |
DOIs | |
State | Published - Nov 2 2011 |
Event | 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 - Chicago, IL, United States Duration: Mar 30 2011 → Apr 2 2011 |
Publication series
Name | Proceedings - International Symposium on Biomedical Imaging |
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ISSN (Print) | 1945-7928 |
ISSN (Electronic) | 1945-8452 |
Other
Other | 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 |
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Country | United States |
City | Chicago, IL |
Period | 3/30/11 → 4/2/11 |
Fingerprint
Keywords
- field inhomogeneity
- graphics processing cards
- image regularization
- magnetic resonance imaging
ASJC Scopus subject areas
- Biomedical Engineering
- Radiology Nuclear Medicine and imaging
Cite this
Impatient MRI : Illinois Massively Parallel Acceleration Toolkit for image reconstruction with enhanced throughput in MRI. / Wu, Xiao Long; Gai, Jiading; Lam, Fan; Fu, Maojing; Haldar, Justin P.; Zhuo, Yue; Liang, Zhi Pei; Hwu, Wen Mei; Sutton, Bradley P.
2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11. 2011. p. 69-72 5872356 (Proceedings - International Symposium on Biomedical Imaging).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Impatient MRI
T2 - Illinois Massively Parallel Acceleration Toolkit for image reconstruction with enhanced throughput in MRI
AU - Wu, Xiao Long
AU - Gai, Jiading
AU - Lam, Fan
AU - Fu, Maojing
AU - Haldar, Justin P.
AU - Zhuo, Yue
AU - Liang, Zhi Pei
AU - Hwu, Wen Mei
AU - Sutton, Bradley P.
PY - 2011/11/2
Y1 - 2011/11/2
N2 - 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.
AB - 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.
KW - field inhomogeneity
KW - graphics processing cards
KW - image regularization
KW - magnetic resonance imaging
UR - http://www.scopus.com/inward/record.url?scp=80055060427&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80055060427&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2011.5872356
DO - 10.1109/ISBI.2011.5872356
M3 - Conference contribution
AN - SCOPUS:80055060427
SN - 9781424441280
T3 - Proceedings - International Symposium on Biomedical Imaging
SP - 69
EP - 72
BT - 2011 8th IEEE International Symposium on Biomedical Imaging
ER -