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Cartesian dictionary-based native T1 and T2 mapping of the myocardium
1Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring Sciences (HMV), Linköping University, Linköping, Sweden.
Magnetic Resonance in Medicine
|January 5, 2022
Summary
A new Multimapping technique enables simultaneous native myocardial T1 and T2 mapping using Cartesian sampling. This method shows promising results for image quality and parameter quantification in vivo.
Area of Science:
- Cardiovascular Magnetic Resonance Imaging
- Quantitative Myocardial Imaging
- Biomedical Engineering
Background:
- Accurate native myocardial T1 and T2 mapping is crucial for diagnosing cardiovascular diseases.
- Existing mapping techniques can be limited by acquisition speed and accuracy.
Purpose of the Study:
- To implement and evaluate a novel dictionary-based technique, Multimapping, for simultaneous native myocardial T1 and T2 mapping.
- To assess the feasibility of using a conventional Cartesian sampling strategy.
Main Methods:
- Multimapping employs single-shot Cartesian acquisitions over 10 cardiac cycles with specific inversion and T2 preparation pulses.
- The technique involves matching acquired k-space center data to a dictionary of T1 and T2 values.
- Phantom and in vivo experiments were conducted on 16 healthy subjects and 3 patients with cardiovascular disease.
Main Results:
- Phantom studies demonstrated good agreement with reference T1 and T2 values, with no heart-rate dependency.
- In vivo, Multimapping yielded significantly different T1 values compared to a reference method (1114 ± 14 ms vs. 991 ± 26 ms).
- Multimapping showed significantly lower T2 values and spatial variability (47.1 ± 1.3 ms, 5.8 ± 1.0 ms) compared to the reference (54.7 ± 2.2 ms, 8.4 ± 2.0 ms).
Conclusions:
- Multimapping successfully enables simultaneous native myocardial T1 and T2 mapping using a standard Cartesian trajectory.
- The technique demonstrates promising in vivo image quality and accurate parameter quantification.
- This method offers a potential advancement for quantitative cardiovascular MRI.
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