Validation of quantitative estimation of tissue oxygen extraction fraction and deoxygenated blood volume fraction in phantom and in vivo experiments by using MRI.

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Validation of quantitative estimation of tissue oxygen extraction fraction and deoxygenated blood volume fraction in phantom and in vivo experiments by using MRI. / Sedlacik, Jan; Reichenbach, Jürgen R.

in: MAGN RESON MED, Jahrgang 63, Nr. 4, 4, 2010, S. 910-921.

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@article{1674704bf08946f99e5a8c8f7c92a7e5,
title = "Validation of quantitative estimation of tissue oxygen extraction fraction and deoxygenated blood volume fraction in phantom and in vivo experiments by using MRI.",
abstract = "The blood oxygenation level dependent signal of cerebral tissue can be theoretically derived using a network model formed by randomly oriented infinitely long cylinders. The validation of this model by phantom and in vivo experiments is still an object of research. A network phantom was constructed of solid polypropylene strings immersed in silicone oil, which essentially eliminated the effect of spin diffusion. The volume fraction and magnetic property of the string network was predetermined by independent methods. Ten healthy volunteers were measured for in vivo demonstration. The gradient echo sampled spin echo signal was evaluated with the cylinder network model. We found a strong interdependency between the two network characterizing parameters deoxygenated blood volume and oxygen extraction fraction. Here, different sets of deoxygenated blood volume/oxygen extraction fraction values were able to describe the measured signal equally well. However, by setting one parameter constant to a predetermined value, reasonable estimates of the other parameter were obtained. The same behavior was found for the in vivo demonstration. The signal theory of the cylinder network was validated by a well-characterized phantom. However, the found interdependency that was found between deoxygenated blood volume and oxygen extraction fraction requires an independent estimation of one variable to determine reliable values of the other parameter.",
keywords = "Adult, Humans, Male, Female, Algorithms, Oxygen blood, Magnetic Resonance Imaging methods, Models, Theoretical, Phantoms, Imaging, Blood Volume Determination methods, Brain metabolism, Cerebrovascular Circulation, Adult, Humans, Male, Female, Algorithms, Oxygen blood, Magnetic Resonance Imaging methods, Models, Theoretical, Phantoms, Imaging, Blood Volume Determination methods, Brain metabolism, Cerebrovascular Circulation",
author = "Jan Sedlacik and Reichenbach, {J{\"u}rgen R}",
year = "2010",
language = "Deutsch",
volume = "63",
pages = "910--921",
journal = "MAGN RESON MED",
issn = "0740-3194",
publisher = "John Wiley and Sons Inc.",
number = "4",

}

RIS

TY - JOUR

T1 - Validation of quantitative estimation of tissue oxygen extraction fraction and deoxygenated blood volume fraction in phantom and in vivo experiments by using MRI.

AU - Sedlacik, Jan

AU - Reichenbach, Jürgen R

PY - 2010

Y1 - 2010

N2 - The blood oxygenation level dependent signal of cerebral tissue can be theoretically derived using a network model formed by randomly oriented infinitely long cylinders. The validation of this model by phantom and in vivo experiments is still an object of research. A network phantom was constructed of solid polypropylene strings immersed in silicone oil, which essentially eliminated the effect of spin diffusion. The volume fraction and magnetic property of the string network was predetermined by independent methods. Ten healthy volunteers were measured for in vivo demonstration. The gradient echo sampled spin echo signal was evaluated with the cylinder network model. We found a strong interdependency between the two network characterizing parameters deoxygenated blood volume and oxygen extraction fraction. Here, different sets of deoxygenated blood volume/oxygen extraction fraction values were able to describe the measured signal equally well. However, by setting one parameter constant to a predetermined value, reasonable estimates of the other parameter were obtained. The same behavior was found for the in vivo demonstration. The signal theory of the cylinder network was validated by a well-characterized phantom. However, the found interdependency that was found between deoxygenated blood volume and oxygen extraction fraction requires an independent estimation of one variable to determine reliable values of the other parameter.

AB - The blood oxygenation level dependent signal of cerebral tissue can be theoretically derived using a network model formed by randomly oriented infinitely long cylinders. The validation of this model by phantom and in vivo experiments is still an object of research. A network phantom was constructed of solid polypropylene strings immersed in silicone oil, which essentially eliminated the effect of spin diffusion. The volume fraction and magnetic property of the string network was predetermined by independent methods. Ten healthy volunteers were measured for in vivo demonstration. The gradient echo sampled spin echo signal was evaluated with the cylinder network model. We found a strong interdependency between the two network characterizing parameters deoxygenated blood volume and oxygen extraction fraction. Here, different sets of deoxygenated blood volume/oxygen extraction fraction values were able to describe the measured signal equally well. However, by setting one parameter constant to a predetermined value, reasonable estimates of the other parameter were obtained. The same behavior was found for the in vivo demonstration. The signal theory of the cylinder network was validated by a well-characterized phantom. However, the found interdependency that was found between deoxygenated blood volume and oxygen extraction fraction requires an independent estimation of one variable to determine reliable values of the other parameter.

KW - Adult

KW - Humans

KW - Male

KW - Female

KW - Algorithms

KW - Oxygen blood

KW - Magnetic Resonance Imaging methods

KW - Models, Theoretical

KW - Phantoms, Imaging

KW - Blood Volume Determination methods

KW - Brain metabolism

KW - Cerebrovascular Circulation

KW - Adult

KW - Humans

KW - Male

KW - Female

KW - Algorithms

KW - Oxygen blood

KW - Magnetic Resonance Imaging methods

KW - Models, Theoretical

KW - Phantoms, Imaging

KW - Blood Volume Determination methods

KW - Brain metabolism

KW - Cerebrovascular Circulation

M3 - SCORING: Zeitschriftenaufsatz

VL - 63

SP - 910

EP - 921

JO - MAGN RESON MED

JF - MAGN RESON MED

SN - 0740-3194

IS - 4

M1 - 4

ER -