A general model to calculate the spin-lattice (T1) relaxation time of blood, accounting for haematocrit, oxygen saturation and magnetic field strength
A general model to calculate the spin-lattice (T1) relaxation time of blood, accounting for haematocrit, oxygen saturation and magnetic field strength
Many MRI techniques require prior knowledge of the T1-relaxation time of blood (T1bl). An assumed/fixed value is often used; however, T1bl is sensitive to magnetic field (B0), haematocrit (Hct), and oxygen saturation (Y). We aimed to combine data from previous in vitro measurements into a mathematical model, to estimate T1bl as a function of B0, Hct, and Y. The model was shown to predict T1bl from in vivo studies with a good accuracy (±87?ms). This model allows for improved estimation of T1bl between 1.5-7.0?T while accounting for variations in Hct and Y, leading to improved accuracy of MRI-derived perfusion measurements.
asl, cerebral blood flow measurements, mri, perfusion weighted mri, mathematical modelling
370-374
Hales, Patrick W.
4f79496e-1c36-4bba-bb4d-d46974307f4f
Kirkham, Fenella J.
1dfbc0d5-aebe-4439-9fb2-dac6503bcd58
Clark, Christopher A.
b7466af5-d869-466d-8733-6a450950ae3c
February 2016
Hales, Patrick W.
4f79496e-1c36-4bba-bb4d-d46974307f4f
Kirkham, Fenella J.
1dfbc0d5-aebe-4439-9fb2-dac6503bcd58
Clark, Christopher A.
b7466af5-d869-466d-8733-6a450950ae3c
Hales, Patrick W., Kirkham, Fenella J. and Clark, Christopher A.
(2016)
A general model to calculate the spin-lattice (T1) relaxation time of blood, accounting for haematocrit, oxygen saturation and magnetic field strength.
Journal of Cerebral Blood Flow & Metabolism, 36 (2), .
(doi:10.1177/0271678X15605856).
(PMID:26661147)
Abstract
Many MRI techniques require prior knowledge of the T1-relaxation time of blood (T1bl). An assumed/fixed value is often used; however, T1bl is sensitive to magnetic field (B0), haematocrit (Hct), and oxygen saturation (Y). We aimed to combine data from previous in vitro measurements into a mathematical model, to estimate T1bl as a function of B0, Hct, and Y. The model was shown to predict T1bl from in vivo studies with a good accuracy (±87?ms). This model allows for improved estimation of T1bl between 1.5-7.0?T while accounting for variations in Hct and Y, leading to improved accuracy of MRI-derived perfusion measurements.
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Accepted/In Press date: 23 July 2015
e-pub ahead of print date: 30 September 2015
Published date: February 2016
Keywords:
asl, cerebral blood flow measurements, mri, perfusion weighted mri, mathematical modelling
Organisations:
Clinical & Experimental Sciences
Identifiers
Local EPrints ID: 390148
URI: http://eprints.soton.ac.uk/id/eprint/390148
ISSN: 0271-678X
PURE UUID: 5f80d876-9d84-4ed6-af47-6891e313cc68
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Date deposited: 21 Mar 2016 13:12
Last modified: 15 Mar 2024 03:10
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Author:
Patrick W. Hales
Author:
Christopher A. Clark
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