Literature DB >> 31425810

Free-running simultaneous myocardial T1/T2 mapping and cine imaging with 3D whole-heart coverage and isotropic spatial resolution.

Haikun Qi1, Aurelien Bustin2, Gastao Cruz2, Olivier Jaubert2, Huijun Chen3, René M Botnar4, Claudia Prieto4.   

Abstract

PURPOSE: To develop a free-running framework for 3D isotropic simultaneous myocardial T1/T2 mapping and cine imaging.
METHODS: Continuous data acquisition with 3D golden angle radial trajectory is used in conjunction with T2 preparation of varying echo times and inversion recovery (IR) pulses to enable simultaneous myocardial T1/T2 mapping and cine imaging. Data acquisition is retrospectively synchronized with ECG signal, and 1D respiratory self-navigation signal is extracted from the k-space center of all radial spokes. Respiratory binning is performed based on the estimated respiratory signal, enabling estimation and correction of 3D translational respiratory motion. Using high-dimensionality patch-based undersampled reconstruction with dictionary-based low-rank inversion, whole-heart T1/T2 maps and cine images can be generated with 2 mm isotropic spatial resolution. The proposed technique was validated in a standardised phantom and ten healthy subjects in comparison to conventional 2D imaging techniques.
RESULTS: Phantom T1 and T2 measurements demonstrated good agreement with 2D spin echo techniques. Septal T1 estimated with the proposed technique (1185.6 ± 49.8 ms) was longer than with a conventional breath-hold 2D IR-prepared sequence (1044.3 ± 26.7 ms), whereas T2 measurements (47.6 ± 2.5 ms) were lower than a breath-hold 2D gradient spin echo sequence (52.0 ± 1.8 ms). Precision of the proposed 3D mapping was higher than conventional 2D mapping techniques. Ejection fraction measured with the proposed 3D approach (63.8 ± 6.8%) agreed well with conventional breath-held multi-slice 2D cine (62.3 ± 6.4%).
CONCLUSIONS: The proposed technique provides co-registered 3D T1/T2 maps and cine images with isotropic spatial resolution from a single free-breathing scan, thereby providing a promising imaging tool for whole-heart myocardial tissue characterization and functional evaluation.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  3D radial; Cine imaging; Joint T1/T2; Myocardial T1 mapping; Myocardial T2 mapping

Mesh:

Year:  2019        PMID: 31425810     DOI: 10.1016/j.mri.2019.08.008

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  8 in total

1.  Cardiac cine magnetic resonance fingerprinting for combined ejection fraction, T1 and T2 quantification.

Authors:  Jesse I Hamilton; Yun Jiang; Brendan Eck; Mark Griswold; Nicole Seiberlich
Journal:  NMR Biomed       Date:  2020-06-05       Impact factor: 4.044

Review 2.  Recommendation for Cardiac Magnetic Resonance Imaging-Based Phenotypic Study: Imaging Part.

Authors:  Chengyan Wang; Yan Li; Jun Lv; Jianhua Jin; Xumei Hu; Xutong Kuang; Weibo Chen; He Wang
Journal:  Phenomics       Date:  2021-07-28

Review 3.  Cardiac MR: From Theory to Practice.

Authors:  Tevfik F Ismail; Wendy Strugnell; Chiara Coletti; Maša Božić-Iven; Sebastian Weingärtner; Kerstin Hammernik; Teresa Correia; Thomas Küstner
Journal:  Front Cardiovasc Med       Date:  2022-03-03

4.  Free-breathing, non-ECG, simultaneous myocardial T1 , T2 , T2 *, and fat-fraction mapping with motion-resolved cardiovascular MR multitasking.

Authors:  Tianle Cao; Nan Wang; Alan C Kwan; Hsu-Lei Lee; Xianglun Mao; Yibin Xie; Kim-Lien Nguyen; Caroline M Colbert; Fei Han; Pei Han; Hui Han; Anthony G Christodoulou; Debiao Li
Journal:  Magn Reson Med       Date:  2022-06-17       Impact factor: 3.737

5.  Free-breathing simultaneous T 1 , T 2 , and T 2 quantification in the myocardium.

Authors:  Ingo Hermann; Peter Kellman; Omer B Demirel; Mehmet Akçakaya; Lothar R Schad; Sebastian Weingärtner
Journal:  Magn Reson Med       Date:  2021-03-29       Impact factor: 4.668

6.  Myocardial T1, T2, T2*, and fat fraction quantification via low-rank motion-corrected cardiac MR fingerprinting.

Authors:  Gastao José Lima da Cruz; Carlos Velasco; Begoña Lavin; Olivier Jaubert; Rene Michael Botnar; Claudia Prieto
Journal:  Magn Reson Med       Date:  2022-01-26       Impact factor: 3.737

Review 7.  Artificial intelligence in cardiac magnetic resonance fingerprinting.

Authors:  Carlos Velasco; Thomas J Fletcher; René M Botnar; Claudia Prieto
Journal:  Front Cardiovasc Med       Date:  2022-09-20

Review 8.  From Compressed-Sensing to Artificial Intelligence-Based Cardiac MRI Reconstruction.

Authors:  Aurélien Bustin; Niccolo Fuin; René M Botnar; Claudia Prieto
Journal:  Front Cardiovasc Med       Date:  2020-02-25
  8 in total

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