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A general linear relaxometry model of R1 using imaging data

Callaghan, MF; Helms, G; Lutti, A; Mohammadi, S; Weiskopf, N; (2015) A general linear relaxometry model of R1 using imaging data. Magn Reson Med , 73 (3) 1309 - 1314. 10.1002/mrm.25210. Green open access

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Abstract

The longitudinal relaxation rate (R1 ) measured in vivo depends on the local microstructural properties of the tissue, such as macromolecular, iron, and water content. Here, we use whole brain multiparametric in vivo data and a general linear relaxometry model to describe the dependence of R1 on these components. We explore a) the validity of having a single fixed set of model coefficients for the whole brain and b) the stability of the model coefficients in a large cohort.

Type: Article
Title: A general linear relaxometry model of R1 using imaging data
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1002/mrm.25210
Publisher version: http://dx.doi.org/10.1002/mrm.25210
Language: English
Additional information: © 2014 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Keywords: 3T, MT, PD, PD*, R1, R2*, T1, T2*, longitudinal relaxation, magnetization transfer, quantitative, relaxometry, transverse relaxation, water content
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience
URI: https://discovery.ucl.ac.uk/id/eprint/1426376
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