Abstract
Real-time cardiac MRI is a very challenging problem because of limitations on imaging speed and resolution. To address this problem, the (k,t) - space MR signal is modeled as being partially separable along the spatial and temporal dimensions, which results in a rank-deficient data matrix. Image reconstruction is then formulated as a low-rank matrix recovery problem, which is solved using emerging low-rank matrix recovery techniques. In this paper, the PowerFactorization algorithm is applied to efficiently recover the cardiac data matrix. Promising results are presented to demonstrate the performance of this novel approach.
| Original language | English (US) |
|---|---|
| Title of host publication | 2010 7th IEEE International Symposium on Biomedical Imaging |
| Subtitle of host publication | From Nano to Macro, ISBI 2010 - Proceedings |
| Pages | 996-999 |
| Number of pages | 4 |
| DOIs | |
| State | Published - Aug 9 2010 |
| Event | 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Rotterdam, Netherlands Duration: Apr 14 2010 → Apr 17 2010 |
Publication series
| Name | 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings |
|---|
Other
| Other | 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 |
|---|---|
| Country | Netherlands |
| City | Rotterdam |
| Period | 4/14/10 → 4/17/10 |
Fingerprint
Keywords
- Compressed sensing
- Dynamic MRI
- Low-rank matrices
- Matrix recovery
- Spatiotemporal modeling
ASJC Scopus subject areas
- Biomedical Engineering
- Radiology Nuclear Medicine and imaging
Cite this
Low rank matrix recovery for real-time cardiac MRI. / Zhao, Bo; Haldar, Justin P.; Brinegar, Cornelius; Liang, Zhi-Pei.
2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings. 2010. p. 996-999 5490156 (2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Low rank matrix recovery for real-time cardiac MRI
AU - Zhao, Bo
AU - Haldar, Justin P.
AU - Brinegar, Cornelius
AU - Liang, Zhi-Pei
PY - 2010/8/9
Y1 - 2010/8/9
N2 - Real-time cardiac MRI is a very challenging problem because of limitations on imaging speed and resolution. To address this problem, the (k,t) - space MR signal is modeled as being partially separable along the spatial and temporal dimensions, which results in a rank-deficient data matrix. Image reconstruction is then formulated as a low-rank matrix recovery problem, which is solved using emerging low-rank matrix recovery techniques. In this paper, the PowerFactorization algorithm is applied to efficiently recover the cardiac data matrix. Promising results are presented to demonstrate the performance of this novel approach.
AB - Real-time cardiac MRI is a very challenging problem because of limitations on imaging speed and resolution. To address this problem, the (k,t) - space MR signal is modeled as being partially separable along the spatial and temporal dimensions, which results in a rank-deficient data matrix. Image reconstruction is then formulated as a low-rank matrix recovery problem, which is solved using emerging low-rank matrix recovery techniques. In this paper, the PowerFactorization algorithm is applied to efficiently recover the cardiac data matrix. Promising results are presented to demonstrate the performance of this novel approach.
KW - Compressed sensing
KW - Dynamic MRI
KW - Low-rank matrices
KW - Matrix recovery
KW - Spatiotemporal modeling
UR - http://www.scopus.com/inward/record.url?scp=77955194425&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77955194425&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2010.5490156
DO - 10.1109/ISBI.2010.5490156
M3 - Conference contribution
AN - SCOPUS:77955194425
SN - 9781424441266
T3 - 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings
SP - 996
EP - 999
BT - 2010 7th IEEE International Symposium on Biomedical Imaging
ER -