Journal article
Magnetic resonance fingerprinting - An overview
Current opinion in biomedical engineering, Vol.3, pp.56-66
09/01/2017
DOI: 10.1016/j.cobme.2017.11.001
PMCID: PMC5984038
PMID: 29868647
Abstract
Magnetic Resonance Fingerprinting (MRF) is a new approach to quantitative magnetic resonance imaging that allows simultaneous measurement of multiple tissue properties in a single, time-efficient acquisition. The ability to reproducibly and quantitatively measure tissue properties could enable more objective tissue diagnosis, comparisons of scans acquired at different locations and time points, longitudinal follow-up of individual patients and development of imaging biomarkers. This review provides a general overview of MRF technology, current preclinical and clinical applications and potential future directions. MRF has been initially evaluated in brain, prostate, liver, cardiac, musculoskeletal imaging, and measurement of perfusion and microvascular properties through MR vascular fingerprinting.
Details
- Title: Subtitle
- Magnetic resonance fingerprinting - An overview
- Creators
- Ananya Panda - University Hospitals of ClevelandBhairav B. Mehta - University Hospitals of ClevelandSimone Coppo - University Hospitals of ClevelandYun Jiang - University Hospitals of ClevelandDan Ma - University Hospitals of ClevelandNicole Seiberlich - University Hospitals of ClevelandMark A. Griswold - University Hospitals of ClevelandVikas Gulani - University Hospitals of Cleveland
- Resource Type
- Journal article
- Publication Details
- Current opinion in biomedical engineering, Vol.3, pp.56-66
- DOI
- 10.1016/j.cobme.2017.11.001
- PMID
- 29868647
- PMCID
- PMC5984038
- NLM abbreviation
- Curr Opin Biomed Eng
- ISSN
- 2468-4511
- eISSN
- 2468-4511
- Publisher
- Elsevier
- Number of pages
- 11
- Grant note
- 1R01EB016728; 1R01BB017219; 1R01DK098503; 1R01CA208236; 2R01HL094557; 1R21EB021562 / NIH; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA UL1TR000439 / CTSC Cleveland Cristal Brain Tumor Fund Siemens Healthineers
- Language
- English
- Date published
- 09/01/2017
- Academic Unit
- Radiology
- Record Identifier
- 9984697729202771
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