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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Magnetic resonance in medicine Ročník 73; číslo 3; s. 1309 - 1314
Hlavní autoři:	Callaghan, Martina F., Helms, Gunther, Lutti, Antoine, Mohammadi, Siawoosh, Weiskopf, Nikolaus
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Blackwell Publishing Ltd 01.03.2015 Wiley Subscription Services, Inc BlackWell Publishing Ltd
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Popis
Shrnutí:	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.
Bibliografie:	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