A general linear relaxometry model of R1 using imaging data

Purpose 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...

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Bibliographic Details
Published in:Magnetic resonance in medicine Vol. 73; no. 3; pp. 1309 - 1314
Main Authors: Callaghan, Martina F., Helms, Gunther, Lutti, Antoine, Mohammadi, Siawoosh, Weiskopf, Nikolaus
Format: Journal Article
Language:English
Published: United States Blackwell Publishing Ltd 01.03.2015
Wiley Subscription Services, Inc
BlackWell Publishing Ltd
Subjects:
Adult
Aged
Algorithms
Annan fysik
Computer Processing and Modeling—Note
Computer Simulation
Electric Impedance
Engineering and Technology
Female
Fysik
Humans
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Imaging, Three-Dimensional - methods
Linear Models
longitudinal relaxation
Magnetic Fields
Magnetic Resonance Imaging - methods
magnetization transfer
Male
Medical Engineering
Medical Imaging
Medicinsk bildvetenskap
Medicinteknik
Middle Aged
Models, Biological
Natural Sciences
Naturvetenskap
Other Physics Topics
Physical Sciences
quantitative
Reference Values
relaxometry
Reproducibility of Results
Sensitivity and Specificity
Teknik
transverse relaxation
water content
Young Adult
R2
3T
relaxometry
MT
longitudinal relaxation
transverse relaxation
PD
quantitative
water content
magnetization transfer
T1
T2
R1
ISSN:0740-3194, 1522-2594, 1522-2594
Online Access:Get full text
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Summary:Purpose 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. Methods Maps of magnetization transfer (MT) and effective transverse relaxation rate (R2*) were used as surrogates for macromolecular and iron content, respectively. Spatial variations in these parameters reflected variations in underlying tissue microstructure. A linear model was applied to the whole brain, including gray/white matter and deep brain structures, to determine the global model coefficients. Synthetic R1 values were then calculated using these coefficients and compared with the measured R1 maps. Results The model's validity was demonstrated by correspondence between the synthetic and measured R1 values and by high stability of the model coefficients across a large cohort. Conclusion A single set of global coefficients can be used to relate R1, MT, and R2* across the whole brain. Our population study demonstrates the robustness and stability of the model. Magn Reson Med, 2014. © 2014 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. Magn Reson Med 73:1309–1314, 2015. © 2014 Wiley Periodicals, Inc.
Bibliography:ark:/67375/WNG-QW7DDNT8-S
Deutsche Forschungsgemeinschaft - No. MO 2397/1-1
ArticleID:MRM25210
istex:0BFC4520888E4FA13AD9302EB1CA571266C5FDFF
The Wellcome Trust - No. 091593/Z/10/Z
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
Grant sponsor: Deutsche Forschungsgemeinschaft; Grant number: MO 2397/1-1; Grant sponsor: The Wellcome Trust; Grant number: 091593/Z/10/Z.
ISSN:0740-3194
1522-2594
1522-2594
DOI:10.1002/mrm.25210