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Updated: Jul 4, 2026

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Assessment of Cardiac Function and Myocardial Morphology Using Small Animal Look-locker Inversion Recovery SALLI MRI in Rats
Published on: July 19, 2013
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Effect of the Modified Look-Locker Inversion Recovery Sampling Scheme on Accuracy and Heart Rate Variability in
Yuta Endo1, Keita Fukushima2, Akihito Nakanishi2
1Department of Medical Radiological Technology, Faculty of Health Sciences, Kyorin University, Mitaka, Tokyo, Japan.
Summary
The 5(3)3 modified Look-Locker inversion recovery (MOLLI) sequence provides accurate T1 measurements. This cardiac MRI technique is robust against heart rate variability, ensuring reliable results across various T1 values.
Area of Science:
- Medical Imaging
- Cardiovascular MRI
- Quantitative MRI
Background:
- T1 relaxation time is crucial for cardiovascular magnetic resonance imaging (CMR) assessments.
- Modified Look-Locker inversion recovery (MOLLI) is a common technique for T1 mapping.
- Understanding the impact of heart rate variability (HRV) on MOLLI accuracy is essential for clinical translation.
Purpose of the Study:
- To evaluate the accuracy and HRV-induced variability of different MOLLI sampling schemes.
- To identify the optimal MOLLI sequence for robust T1 quantification in CMR.
Main Methods:
- Comparison of five MOLLI sampling schemes (5(3)3, 5s(3s)3s, 4(1)3(1)2, 4s(1s)3s(1s)2s, 3(3)3(3)5).
- Utilized a phantom experiment with a simulated electrocardiogram signal.
- Assessed accuracy against reference T1 values and variability across different heart rates.
Main Results:
- The 5(3)3 and 5s(3s)3s schemes showed high accuracy (R² > 0.95) for native and contrast-enhanced T1 values.
- The 5(3)3 scheme exhibited minimal T1 measurement variation due to HRV (<6% error).
- This scheme maintained accuracy irrespective of the T1 value or heart rate.
Conclusions:
- The 5(3)3 MOLLI sequence offers superior accuracy and robustness against HRV for T1 mapping.
- This sequence is suitable for quantitative CMR across a wide range of T1 values.
- The 5(3)3 scheme enhances the reliability of cardiovascular MRI diagnostics.

