Literature DB >> 25263761

Myocardial perfusion assessment in humans using steady-pulsed arterial spin labeling.

Thibaut Capron1, Thomas Troalen1, Benjamin Robert2, Alexis Jacquier1, Monique Bernard1, Frank Kober1.   

Abstract

PURPOSE: Although arterial spin labeling (ASL) has become a routinely performed method in the rodent heart, its application to the human heart remains challenged by low tissue blood flow and cardiac and respiratory motion. We hypothesized that an alternative steady-pulsed ASL (spASL) method would provide more efficient perfusion signal averaging by driving the tissue magnetization into a perfusion-dependent steady state.
METHODS: We evaluated the feasibility of spASL in the human heart by combining pulsed labeling in the aortic root with a balanced steady state free precession sequence. The spASL scheme was applied to 13 subjects under free breathing. Breathing motion was addressed using retrospective image exclusion based on a contour-based cross-correlation algorithm.
RESULTS: The measured signal with spASL was due to labeled blood. We found that the perfusion signal was larger than that obtained with the earlier flow-sensitive alternating inversion recovery (FAIR) method. Averaged myocardial blood flow (MBF) over four myocardial regions was 1.28 ± 0.36 mL·g(-1) ·min(-1) .
CONCLUSION: spASL was able to quantify MBF in healthy subjects under free breathing. Because quantification with ASL is more direct than with first-pass perfusion MRI, it appears particularly suited for pathologies with diffuse microvascular alterations, MBF reserve, and follow-up studies.
© 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  arterial spin labeling; blood flow; cine-ASL; myocardial perfusion; steady state; steady-pulsed

Mesh:

Substances:

Year:  2014        PMID: 25263761     DOI: 10.1002/mrm.25479

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


  8 in total

Review 1.  CEST, ASL, and magnetization transfer contrast: How similar pulse sequences detect different phenomena.

Authors:  Linda Knutsson; Jiadi Xu; André Ahlgren; Peter C M van Zijl
Journal:  Magn Reson Med       Date:  2018-05-30       Impact factor: 4.668

2.  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

3.  Steady pulsed imaging and labeling scheme for noninvasive perfusion imaging.

Authors:  Jiadi Xu; Qin Qin; Dan Wu; Jun Hua; Xiaolei Song; Michael T McMahon; Frances J Northington; Jiangyang Zhang; Peter C M van Zijl; James J Pekar
Journal:  Magn Reson Med       Date:  2015-03-02       Impact factor: 4.668

4.  Improved velocity-selective labeling pulses for myocardial ASL.

Authors:  Vanessa Landes; Ahsan Javed; Terrence Jao; Qin Qin; Krishna Nayak
Journal:  Magn Reson Med       Date:  2020-03-15       Impact factor: 4.668

5.  Analysis of physiological noise in quantitative cardiac magnetic resonance.

Authors:  Terrence Jao; Krishna Nayak
Journal:  PLoS One       Date:  2019-08-27       Impact factor: 3.240

Review 6.  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

7.  Non-contrast myocardial perfusion in rest and exercise stress using systolic flow-sensitive alternating inversion recovery.

Authors:  Markus Henningsson; Carl-Johan Carlhäll; Tino Ebbers; Johan Kihlberg
Journal:  MAGMA       Date:  2021-12-27       Impact factor: 2.533

8.  Myocardial arterial spin labeling in systole and diastole using flow-sensitive alternating inversion recovery with parallel imaging and compressed sensing.

Authors:  Markus Henningsson; Carl-Johan Carlhäll; Johan Kihlberg
Journal:  NMR Biomed       Date:  2020-11-04       Impact factor: 4.478

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.