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Title
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NOVIFAST: A fast algorithm for accurate and precise VFA MRI mapping
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Author
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Abstract
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| In quantitative magnetic resonance T 1 mapping, the Variable Flip Angle (VFA) steady state spoiled gradient recalled echo (SPGR) imaging technique is popular as it provides a series of high resolution T 1 weighted images in a clinically feasible time. Fast, linear methods that estimate T 1 maps from these weighted images have been proposed, such as DESPOT1 and iterative re- weighted linear least squares (IRWLLS). More accurate, non- linear least squares (NLLS) estimators are in play, but these are generally much slower and require careful initialization. In this work, we present NOVIFAST, a novel NLLS-based algorithm specifically tailored to VFA SPGR T 1 mapping. By exploiting the particular structure of the SPGR model, a computationally efficient, yet accurate and precise T 1 map estimator is derived. Simulation and in vivo human brain experiments demonstrate a twenty-fold speed gain of NOVIFAST compared to conven- tional gradient-based NLLS estimators, while maintaining a high precision and accuracy. Moreover, NOVIFAST is eight times faster than efficient implementations of the VARPRO method. Furthermore, NOVIFAST is shown to be robust against initialization. |
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Language
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English
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Source (journal)
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IEEE transactions on medical imaging / Institute of Electrical and Electronics Engineers [New York, N.Y.] - New York, N.Y.
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Publication
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New York, N.Y.
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2018
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ISSN
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0278-0062
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Volume/pages
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37
:11
(2018)
, p. 2414-2427
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ISI
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000449113800004
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Pubmed ID
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29993537
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Full text (Publisher's DOI)
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Full text (open access)
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