Literature DB >> 30565296

Non-contrast myocardial infarct scar assessment using a hybrid native T1 and magnetization transfer imaging sequence at 1.5T.

Chong Duan1, Yanjie Zhu1,2, Jihye Jang1,3, Jennifer Rodriguez1, Ulf Neisius1, Ahmed S Fahmy1, Reza Nezafat1.   

Abstract

PURPOSE: To develop a gadolinium-free cardiac MR technique that simultaneously exploits native T1 and magnetization transfer (MT) contrast for the imaging of myocardial infarction.
METHODS: A novel hybrid T one and magnetization transfer (HYTOM) method was developed based on the modified look-locker inversion recovery (MOLLI) sequence, with a train of MT-prep pulses placed before the balanced SSFP (bSSFP) readout pulses. Numerical simulations, based on Bloch-McConnell equations, were performed to investigate the effects of MT induced by (1) the bSSFP readout pulses, and (2) the MT-prep pulses, on the measured, "apparent," native T1 values. The HYTOM method was then tested on 8 healthy adult subjects, 6 patients, and a swine with prior myocardial infarction (MI). The resulting imaging contrast between normal myocardium and infarcted tissues was compared with that of MOLLI. Late gadolinium enhancement (LGE) images were also obtained for infarct assessment in patients and swine.
RESULTS: Numerical simulation and in vivo studies in healthy volunteers demonstrated that MT effects, resulting from on-resonance bSSFP excitation pulses and off-resonance MT-prep pulses, reduce the measured T1 in both MOLLI and HTYOM. In vivo studies in patients and swine showed that the HYTOM sequence can identify locations of MI, as seen on LGE. Furthermore, the HYTOM method yields higher myocardium-to-scar contrast than MOLLI (contrast-to-noise ratio: 7.33 ± 1.67 vs. 3.77 ± 0.66, P < 0.01).
CONCLUSION: The proposed HYTOM method simultaneously exploits native T1 and MT contrast and significantly boosts the imaging contrast for myocardial infarction.
© 2018 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  Bloch-McConnell equations; MOLLI; magnetization transfer; myocardial infarction; native T1

Mesh:

Substances:

Year:  2018        PMID: 30565296      PMCID: PMC6442732          DOI: 10.1002/mrm.27636

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


  53 in total

1.  Magnetization transfer in MRI: a review.

Authors:  R M Henkelman; G J Stanisz; S J Graham
Journal:  NMR Biomed       Date:  2001-04       Impact factor: 4.044

2.  Optimization of on-resonant magnetization transfer contrast in coronary vein MRI.

Authors:  Christian T Stoeck; Peng Hu; Dana C Peters; Kraig V Kissinger; Beth Goddu; Lois Goepfert; Long Ngo; Warren J Manning; Sebastian Kozerke; Reza Nezafat
Journal:  Magn Reson Med       Date:  2010-12       Impact factor: 4.668

Review 3.  Coronary magnetic resonance imaging.

Authors:  Warren J Manning; Reza Nezafat; Evan Appelbaum; Peter G Danias; Thomas H Hauser; Susan B Yeon
Journal:  Cardiol Clin       Date:  2007-02       Impact factor: 2.213

4.  A model for magnetization transfer in tissues.

Authors:  C Morrison; R M Henkelman
Journal:  Magn Reson Med       Date:  1995-04       Impact factor: 4.668

5.  Quantitative interpretation of magnetization transfer.

Authors:  R M Henkelman; X Huang; Q S Xiang; G J Stanisz; S D Swanson; M J Bronskill
Journal:  Magn Reson Med       Date:  1993-06       Impact factor: 4.668

6.  The use of contrast-enhanced magnetic resonance imaging to identify reversible myocardial dysfunction.

Authors:  R J Kim; E Wu; A Rafael; E L Chen; M A Parker; O Simonetti; F J Klocke; R O Bonow; R M Judd
Journal:  N Engl J Med       Date:  2000-11-16       Impact factor: 91.245

7.  Magnetization transfer contrast (MTC) and tissue water proton relaxation in vivo.

Authors:  S D Wolff; R S Balaban
Journal:  Magn Reson Med       Date:  1989-04       Impact factor: 4.668

8.  Assessment of magnetization transfer effects in myocardial tissue using balanced steady-state free precession (bSSFP) cine MRI.

Authors:  Oliver M Weber; Peter Speier; Klaus Scheffler; Oliver Bieri
Journal:  Magn Reson Med       Date:  2009-09       Impact factor: 4.668

9.  Modified Look-Locker inversion recovery (MOLLI) for high-resolution T1 mapping of the heart.

Authors:  Daniel R Messroghli; Aleksandra Radjenovic; Sebastian Kozerke; David M Higgins; Mohan U Sivananthan; John P Ridgway
Journal:  Magn Reson Med       Date:  2004-07       Impact factor: 4.668

10.  Scar heterogeneity on cardiovascular magnetic resonance as a predictor of appropriate implantable cardioverter defibrillator therapy.

Authors:  Hussein Rayatzadeh; Alex Tan; Raymond H Chan; Shalin J Patel; Thomas H Hauser; Long Ngo; Jaime L Shaw; Susie N Hong; Peter Zimetbaum; Alfred E Buxton; Mark E Josephson; Warren J Manning; Reza Nezafat
Journal:  J Cardiovasc Magn Reson       Date:  2013-04-10       Impact factor: 5.364

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  4 in total

1.  Multicenter Study on the Diagnostic Performance of Native-T1 Cardiac Magnetic Resonance of Chronic Myocardial Infarctions at 3T.

Authors:  Guan Wang; Sang-Eun Lee; Qi Yang; Vignesh Sadras; Suraj Patel; Hsin-Jung Yang; Behzad Sharif; Avinash Kali; Ivan Cokic; Guoxi Xie; Mourad Tighiouart; Jeremy Collins; Debiao Li; Daniel S Berman; Hyuk-Jae Chang; Rohan Dharmakumar
Journal:  Circ Cardiovasc Imaging       Date:  2020-06-08       Impact factor: 7.792

Review 2.  Cardiac magnetic resonance fingerprinting: Trends in technical development and potential clinical applications.

Authors:  Brendan L Eck; Scott D Flamm; Deborah H Kwon; W H Wilson Tang; Claudia Prieto Vasquez; Nicole Seiberlich
Journal:  Prog Nucl Magn Reson Spectrosc       Date:  2020-11-06       Impact factor: 9.795

3.  Machine learning phenotyping of scarred myocardium from cine in hypertrophic cardiomyopathy.

Authors:  Jennifer Mancio; Farhad Pashakhanloo; Hossam El-Rewaidy; Jihye Jang; Gargi Joshi; Ibolya Csecs; Long Ngo; Ethan Rowin; Warren Manning; Martin Maron; Reza Nezafat
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2022-03-22       Impact factor: 9.130

Review 4.  Role of Cardiac Magnetic Resonance to Improve Risk Prediction Following Acute ST-Elevation Myocardial Infarction.

Authors:  Martin Reindl; Ingo Eitel; Sebastian Johannes Reinstadler
Journal:  J Clin Med       Date:  2020-04-07       Impact factor: 4.241

  4 in total

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