期刊
JOURNAL OF MAGNETIC RESONANCE IMAGING
卷 51, 期 4, 页码 993-1007出版社
WILEY
DOI: 10.1002/jmri.26877
关键词
magnetic resonance fingerprinting; optimization; reconstruction; machine learning; deep learning
资金
- National Institutes of Health (NIH) [R21 EB026764, R01 NS109439]
- Siemens Healthineers
Magnetic resonance fingerprinting (MRF) is a general framework to quantify multiple MR-sensitive tissue properties with a single acquisition. There have been numerous advances in MRF in the years since its inception. In this work we highlight some of the recent technical developments in MRF, focusing on sequence optimization, modifications for reconstruction and pattern matching, new methods for partial volume analysis, and applications of machine and deep learning. Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019.
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