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Human Brain Mapping
Article . 2016 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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Evaluating quantitative proton‐density‐mapping methods

Authors: Aviv, Mezer; Ariel, Rokem; Shai, Berman; Trevor, Hastie; Brian A, Wandell;

Evaluating quantitative proton‐density‐mapping methods

Abstract

AbstractQuantitative 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.

Related Organizations
Keywords

Adult, Phantoms, Imaging, Brain, Water, Magnetic Resonance Imaging, White Matter, Biophysical Phenomena, Young Adult, Image Processing, Computer-Assisted, Humans, Computer Simulation, Gray Matter, Protons, Artifacts, Algorithms, Software

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
78
Top 1%
Top 10%
Top 10%
gold