Evaluating quantitative proton-density-mapping methods

Aviv Mezer*, Ariel Rokem, Shai Berman, Trevor Hastie, Brian A. Wandell

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

52 Scopus citations


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.

Original languageAmerican English
Pages (from-to)3623-3635
Number of pages13
JournalHuman Brain Mapping
Issue number10
StatePublished - 1 Oct 2016

Bibliographical note

Publisher Copyright:
© 2016 Wiley Periodicals, Inc.


  • T1
  • coil sensitivity
  • parallel imaging
  • proton density
  • quantitative magnetic resonance imaging


Dive into the research topics of 'Evaluating quantitative proton-density-mapping methods'. Together they form a unique fingerprint.

Cite this