Literature DB >> 8771021

Magnetization exchange in capillaries by microcirculation affects diffusion-controlled spin-relaxation: a model which describes the effect of perfusion on relaxation enhancement by intravascular contrast agents.

W R Bauer1, K H Hiller, F Roder, E Rommel, G Ertl, A Haase.   

Abstract

The effect of perfusion on relaxation time in tissue has only been considered for first-pass kinetics of NMR-signal after application of contrast agents. The importance of perfusion on relaxation has not yet been studied for steady state conditions, i.e., when the intravascular relaxation rate is constant in time. The aim of this study is to develop a model in which T1 relaxation is derived as a function of perfusion and intracapillary volume fraction (regional blood volume). Tissue is considered to be two-compartment system, which consists of intracapillary and extravascular space. Intracapillary relaxation differs from relaxation in the arterial system due to diffusion-exchange of magnetization from extravascular to intracapillary space. Perfusion tends to attenuate this difference and thus counteracts the effect on intracapillary relaxation. Relaxation in the extravascular and intracapillary magnetization are linked by diffusion. This dependence is presented in analytical form and a generic equation is derived. AT1 experiment is considered in which all spins of tissue and blood are inverted at the beginning. Calculations are performed for the fast exchange model of tissue. Perfusion increases relaxation enhancement of intravascular contrast agents. This effect is considerable in highly perfused tissue like myocardium. The dependence of relaxation on perfusion implies an overestimation of the regional blood volume when the calculation of the latter is based on tissue models that neglect perfusion. The model presented here is applied to predict the effect of perfusion on T1 imaging with FLASH-pulse sequences because this technique has been proven to be a powerful method to obtain T1 maps within a short time interval. For the fast exchange model, two algorithms are suggested that determine perfusion and regional blood volume from T1 imaging in the presence and absence of intravascular contrast agents.

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Year:  1996        PMID: 8771021     DOI: 10.1002/mrm.1910350107

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  12 in total

1.  Spin-labeling magnetic resonance imaging detects increased myocardial blood flow after endothelial cell transplantation in the infarcted heart.

Authors:  Hualei Zhang; Hui Qiao; Rachel S Frank; Bin Huang; Kathleen J Propert; Susan Margulies; Victor A Ferrari; Jonathan A Epstein; Rong Zhou
Journal:  Circ Cardiovasc Imaging       Date:  2012-02-06       Impact factor: 7.792

2.  Myocardial perfusion and capillary blood volume during left ventricular remodelling.

Authors:  W Bauer; C Waller; E Kahler; K H Hiller; K Hu; A Haase; G Ertl
Journal:  MAGMA       Date:  1998-09       Impact factor: 2.310

3.  Myocardial perfusion imaging using a non-contrast agent MR imaging technique.

Authors:  C Waller; K H Hiller; S Voll; A Haase; G Ertl; W R Bauer
Journal:  Int J Cardiovasc Imaging       Date:  2001-04       Impact factor: 2.357

4.  Numerical approximation to the general kinetic model for ASL quantification.

Authors:  Nam G Lee; Ahsan Javed; Terrence R Jao; Krishna S Nayak
Journal:  Magn Reson Med       Date:  2020-05-04       Impact factor: 4.668

5.  Improved arterial spin labeling after myocardial infarction in mice using cardiac and respiratory gated look-locker imaging with fuzzy C-means clustering.

Authors:  Moriel H Vandsburger; Robert L Janiczek; Yaqin Xu; Brent A French; Craig H Meyer; Christopher M Kramer; Frederick H Epstein
Journal:  Magn Reson Med       Date:  2010-03       Impact factor: 4.668

6.  Cerebral blood flow quantification in the rat: a direct comparison of arterial spin labeling MRI with radioactive microsphere PET.

Authors:  Agnieszka Boś; Ralf Bergmann; Klaus Strobel; Frank Hofheinz; Jörg Steinbach; Jörg van den Hoff
Journal:  EJNMMI Res       Date:  2012-09-15       Impact factor: 3.138

7.  Perfusion phantom: An efficient and reproducible method to simulate myocardial first-pass perfusion measurements with cardiovascular magnetic resonance.

Authors:  Amedeo Chiribiri; Andreas Schuster; Masaki Ishida; Gilion Hautvast; Niloufar Zarinabad; Geraint Morton; James Otton; Sven Plein; Marcel Breeuwer; Philip Batchelor; Tobias Schaeffter; Eike Nagel
Journal:  Magn Reson Med       Date:  2012-04-24       Impact factor: 4.668

8.  Turbo-FLASH based arterial spin labeled perfusion MRI at 7 T.

Authors:  Zhentao Zuo; Rui Wang; Yan Zhuo; Rong Xue; Keith S St Lawrence; Danny J J Wang
Journal:  PLoS One       Date:  2013-06-20       Impact factor: 3.240

9.  Quantitative myocardial perfusion in mice based on the signal intensity of flow sensitized CMR.

Authors:  Sumeda Abeykoon; Michelle Sargent; Janaka P Wansapura
Journal:  J Cardiovasc Magn Reson       Date:  2012-10-24       Impact factor: 5.364

Review 10.  Myocardial arterial spin labeling.

Authors:  Frank Kober; Terrence Jao; Thomas Troalen; Krishna S Nayak
Journal:  J Cardiovasc Magn Reson       Date:  2016-04-12       Impact factor: 5.364

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