Evaluating quantitative proton‐density‐mapping methods |
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| Authors: | Aviv Mezer Ariel Rokem Shai Berman Trevor Hastie Brian A. Wandell |
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| Affiliation: | 1. The Hebrew University of Jerusalem, Edmond and Lily Safra Center for Brain Sciences, Jerusalem, Israel;2. The University of Washington, eScience Institute, Seattle, WA, USA;3. Stanford University, Department of Psychology, Stanford, CA, USA;4. Stanford University, Center for Cognitive and Neurobiological Imaging, Stanford, CA, USA |
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| 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. © 2016 Wiley Periodicals, Inc. |
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| Keywords: | quantitative magnetic resonance imaging proton density T1 coil sensitivity parallel imaging |
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