Literature DB >> 15844151

Accurate myocardial T1 measurements: toward quantification of myocardial blood flow with arterial spin labeling.

Haosen Zhang1, Steve M Shea, Vivian Park, Debiao Li, Pamela K Woodard, Robert J Gropler, Jie Zheng.   

Abstract

In this study, we investigated a method for accurately measuring myocardial T(1) for the quantification of myocardial blood flow (MBF) with arterial spin labeling (ASL). A single-shot gradient-echo (GE)-based ASL sequence with an adiabatic hyperbolic secant inversion recovery pulse was modified to acquire a pair of myocardial T(1)'s within a breath-hold. A multivariable regression algorithm that accounted for the magnetization saturation effects was developed to calculate T(1). The MBF was then determined with a well-developed model. The accuracy of our T(1) calculation was first evaluated in a phantom, and then in six dogs for the MBF calculation, with (N = 4) and without (N = 2) coronary artery stenosis. In the phantom study, the accuracy of T(1) measured with a slice-selective inversion prepared pulse was within 2.5% of error. In healthy dogs, the MBF increased 2-5 times during vasodilation. In contrast, regional differences of MBF were well visualized in the stenotic dogs during vasodilation (perfusion reserve of 2.75 +/- 0.83 in normal myocardium, and 1.46 +/- 0.75 in the stenotic area). A correlation analysis revealed a close agreement in MBF between the ASL and microsphere (MS) in both healthy and stenotic dogs. In summary, the modified ASL technique and T(1) regression algorithm proposed here provide an accurate measurement of myocardial T(1) and demonstrate potential for reliably assessing MBF at steady state. Copyright 2005 Wiley-Liss, Inc.

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Year:  2005        PMID: 15844151     DOI: 10.1002/mrm.20461

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


  17 in total

1.  Estimation of perfusion and arterial transit time in myocardium using free-breathing myocardial arterial spin labeling with navigator-echo.

Authors:  Danny J J Wang; Xiaoming Bi; Brian B Avants; Tongbai Meng; Sven Zuehlsdorff; John A Detre
Journal:  Magn Reson Med       Date:  2010-11       Impact factor: 4.668

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4.  Linear least-squares method for unbiased estimation of T1 from SPGR signals.

Authors:  Lin-Ching Chang; Cheng Guan Koay; Peter J Basser; Carlo Pierpaoli
Journal:  Magn Reson Med       Date:  2008-08       Impact factor: 4.668

5.  Noncontrast skeletal muscle oximetry.

Authors:  Jie Zheng; Hongyu An; Andrew R Coggan; Xiaodong Zhang; Adil Bashir; David Muccigrosso; Linda R Peterson; Robert J Gropler
Journal:  Magn Reson Med       Date:  2013-02-19       Impact factor: 4.668

Review 6.  Quantification of myocardial perfusion by cardiovascular magnetic resonance.

Authors:  Michael Jerosch-Herold
Journal:  J Cardiovasc Magn Reson       Date:  2010-10-08       Impact factor: 5.364

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8.  Feasibility study of myocardial perfusion and oxygenation by noncontrast MRI: comparison with PET study in a canine model.

Authors:  Kyle S McCommis; Haosen Zhang; Pilar Herrero; Robert J Gropler; Jie Zheng
Journal:  Magn Reson Imaging       Date:  2007-06-13       Impact factor: 2.546

9.  Non-contrast MRI perfusion angiosome in diabetic feet.

Authors:  Jie Zheng; Mary K Hastings; David Muccigross; Zhaoyang Fan; Fabao Gao; John Curci; Charles F Hildebolt; Michael J Mueller
Journal:  Eur Radiol       Date:  2014-08-07       Impact factor: 5.315

10.  Resting myocardial perfusion quantification with CMR arterial spin labeling at 1.5 T and 3.0 T.

Authors:  Benjamin E Northrup; Kyle S McCommis; Haosen Zhang; Shuddhadeb Ray; Pamela K Woodard; Robert J Gropler; Jie Zheng
Journal:  J Cardiovasc Magn Reson       Date:  2008-11-17       Impact factor: 5.364

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