Multi-scale locally low-rank noise reduction for high-resolution dynamic quantitative cardiac MRI.

Citation data:

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, ISSN: 1557-170X, Vol: 2017, Page: 1473-1476

Publication Year:
2017
Captures 1
Readers 1
Citations 2
Citation Indexes 2
PMID:
29060157
DOI:
10.1109/embc.2017.8037113
Author(s):
Moeller, Steen; Weingartner, Sebastian; Akcakaya, Mehmet
Publisher(s):
Institute of Electrical and Electronics Engineers (IEEE)
Tags:
Computer Science; Engineering; Medicine
article description
Evaluation of myocardial T 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 T 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 T mapping.