Abstract
Evaluation of myocardial T1 times is conventionally limited to a single temporal snapshot of the cardiac cycle, leaving the dependence between functional and tissue characterization unexplored. We recently proposed a technique that alleviates this limitation by acquiring dynamic quantitative myocardial T1 maps. However, tradeoffs between temporal resolution, scan duration and SNR limit the spatial resolution. In this work, we propose a multi-scale locally low rank noise reduction approach without parameter-tuning to enable high acceleration rates in the acquisition, facilitating superior spatial and temporal resolutions in dynamic myocardial T1 mapping.
Original language | English (US) |
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Title of host publication | 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
Subtitle of host publication | Smarter Technology for a Healthier World, EMBC 2017 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1473-1476 |
Number of pages | 4 |
ISBN (Electronic) | 9781509028092 |
DOIs | |
State | Published - Sep 13 2017 |
Event | 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017 - Jeju Island, Korea, Republic of Duration: Jul 11 2017 → Jul 15 2017 |
Publication series
Name | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS |
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ISSN (Print) | 1557-170X |
Other
Other | 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017 |
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Country | Korea, Republic of |
City | Jeju Island |
Period | 7/11/17 → 7/15/17 |
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Cite this
Multi-scale locally low-rank noise reduction for high-resolution dynamic quantitative cardiac MRI. / Moeller, Steen; Weingartner, Sebastian; Akcakaya, Mehmet.
2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1473-1476 8037113 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Multi-scale locally low-rank noise reduction for high-resolution dynamic quantitative cardiac MRI
AU - Moeller, Steen
AU - Weingartner, Sebastian
AU - Akcakaya, Mehmet
PY - 2017/9/13
Y1 - 2017/9/13
N2 - Evaluation of myocardial T1 times is conventionally limited to a single temporal snapshot of the cardiac cycle, leaving the dependence between functional and tissue characterization unexplored. We recently proposed a technique that alleviates this limitation by acquiring dynamic quantitative myocardial T1 maps. However, tradeoffs between temporal resolution, scan duration and SNR limit the spatial resolution. In this work, we propose a multi-scale locally low rank noise reduction approach without parameter-tuning to enable high acceleration rates in the acquisition, facilitating superior spatial and temporal resolutions in dynamic myocardial T1 mapping.
AB - Evaluation of myocardial T1 times is conventionally limited to a single temporal snapshot of the cardiac cycle, leaving the dependence between functional and tissue characterization unexplored. We recently proposed a technique that alleviates this limitation by acquiring dynamic quantitative myocardial T1 maps. However, tradeoffs between temporal resolution, scan duration and SNR limit the spatial resolution. In this work, we propose a multi-scale locally low rank noise reduction approach without parameter-tuning to enable high acceleration rates in the acquisition, facilitating superior spatial and temporal resolutions in dynamic myocardial T1 mapping.
UR - http://www.scopus.com/inward/record.url?scp=85032216393&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85032216393&partnerID=8YFLogxK
U2 - 10.1109/EMBC.2017.8037113
DO - 10.1109/EMBC.2017.8037113
M3 - Conference contribution
C2 - 29060157
AN - SCOPUS:85032216393
T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
SP - 1473
EP - 1476
BT - 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
PB - Institute of Electrical and Electronics Engineers Inc.
ER -