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A Siemens Single-Shot T1 Mapping Sequence as an Alternative to MOLLI
Mariem Dali1, Narjes Benameur1, Younes Arous2
1Research Laboratory of Biophysics, and Medical Technologies, Higher Institute of Medical Technologies of Tunis, University Tunis El Manar, 1006 Tunis, Tunisia.
A new Single-Shot T1 mapping technique offers a reliable and accessible alternative to MOLLI for cardiac magnetic resonance imaging. This method provides accurate myocardial tissue characterization, especially in resource-limited settings.
Area of Science:
- Cardiovascular Imaging
- Medical Physics
- Quantitative MRI
Background:
- Native T1 mapping is crucial for myocardial tissue characterization in cardiac magnetic resonance (CMR).
- Existing techniques like Modified Look-Locker Inversion Recovery (MOLLI) are often proprietary and inaccessible.
- There is a need for accessible and quantitative T1 mapping methods, particularly in resource-constrained environments.
Purpose of the Study:
- To develop and validate an accessible Single-Shot T1 mapping technique.
- To evaluate its performance as a practical alternative to MOLLI.
- To assess agreement and diagnostic performance against a reference standard (CVI⁴²).
Main Methods:
- A retrospective study involving 40 subjects (25 healthy, 15 cardiac pathology) using 3T CMR.
- Acquisition of native T1 values via a modified Single-Shot inversion recovery scheme (3(3)3(3)5).
- Quantitative analysis using custom MATLAB post-processing compared with CVI⁴² reference measurements; Bland-Altman analysis for agreement.
Main Results:
- Pathological subjects showed significantly higher native T1 values (1566 ± 65 ms) than controls (1079 ± 80 ms).
- The Single-Shot method demonstrated strong agreement with the reference standard (mean difference 5.7 ms, no significant bias).
- Reduced inter-subject variability was observed with the Single-Shot approach compared to CVI⁴².
Conclusions:
- The developed Single-Shot T1 mapping technique is a reliable, reproducible, and accessible alternative to MOLLI.
- It offers comparable accuracy and improved numerical stability for myocardial tissue characterization.
- This method can enhance access to advanced CMR techniques, especially in low-resource settings.
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