| Literature DB >> 27273015 |
Aviv Mezer1, Ariel Rokem2, Shai Berman1, Trevor Hastie3, Brian A Wandell3,4.
Abstract
Quantitative magnetic resonance imaging (qMRI) aims to quantify tissue parameters by eliminating instrumental bias. We describe qMRI theory, simulations, and software designed to estimate proton density (PD), the apparent local concentration of water protons in the living human brain. First, we show that, in the absence of noise, multichannel coil data contain enough information to separate PD and coil sensitivity, a limiting instrumental bias. Second, we show that, in the presence of noise, regularization by a constraint on the relationship between T1 and PD produces accurate coil sensitivity and PD maps. The ability to measure PD quantitatively has applications in the analysis of in-vivo human brain tissue and enables multisite comparisons between individuals and across instruments. Hum Brain Mapp 37:3623-3635, 2016.Entities:
Keywords: T1; coil sensitivity; parallel imaging; proton density; quantitative magnetic resonance imaging
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Year: 2016 PMID: 27273015 PMCID: PMC6204063 DOI: 10.1002/hbm.23264
Source DB: PubMed Journal: Hum Brain Mapp ISSN: 1065-9471 Impact factor: 5.038