Quantitative theory for the longitudinal relaxation time of blood water.
To propose and evaluate a model for the blood water T1 that takes into account the effects of hematocrit fraction, oxygenation fraction, erythrocyte hemoglobin concentration, methemoglobin fraction, and plasma albumin concentration.



Whole blood and lysed blood T1 data were acquired at magnetic fields of 3 Tesla (T), 7T, 9.4T, and 11.7T using inversion-recovery measurements and a home-built blood circulation system for maintaining physiological conditions. A quantitative model was derived based on multivariable fitting of this data.



Fitting of the model to the data allowed determination of the different parameters describing the blood water T1 such as those for the diamagnetic and paramagnetic effects of albumin and hemoglobin, and the contribution of methemoglobin. The model correctly predicts blood T1 at multiple fields, as verified by comparison with existing literature.



The model provides physical and physiological parameters describing the effects of hematocrit fraction, oxygenation, hemoglobin concentration, methemoglobin fraction, and albumin concentration on blood water T1 . It can be used to predict blood T1 at multiple fields. Magn Reson Med 76:270-281, 2016. © 2015 Wiley Periodicals, Inc.
Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.|F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA.
Wenbo
W
Li
Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.|F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA.
Ksenija
K
Grgac
Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.|F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA.|Philips Healthcare, Best, The Netherlands.
Alan
A
Huang
Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.|F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA.
Nirbhay
N
Yadav
Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.|F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA.
Qin
Q
Qin
Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.|F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA.
Peter C M
PC
van Zijl
D000818:Animals; D001774:Blood Chemical Analysis; D001834:Body Water / Q000737:chemistry*; D002417:Cattle; D003198:Computer Simulation; D004912:Erythrocytes / Q000737:chemistry*; D006400:Hematocrit; D006454:Hemoglobins / Q000737:chemistry*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008955:Models, Cardiovascular; D008956:Models, Chemical; D010100:Oxygen / Q000737:chemistry*
D006454:Hemoglobins; D010100:Oxygen
Hct; T1 model; albumin; hematocrit fraction; hemoglobin concentration; in vitro blood; longitudinal relaxation; methemoglobin fraction; oxygenation; relaxivity