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Related Experiment Video

Updated: Nov 17, 2025

Assessment of Cardiac Function and Myocardial Morphology Using Small Animal Look-locker Inversion Recovery SALLI MRI in Rats

Assessment of Cardiac Function and Myocardial Morphology Using Small Animal Look-locker Inversion Recovery SALLI MRI in Rats

Published on: July 19, 2013

Fast calculation software for modified Look-Locker inversion recovery (MOLLI) T1 mapping.

Yoon-Chul Kim¹, Khu Rai Kim², Hyelee Lee³

¹Clinical Research Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.

BMC Medical Imaging

|February 13, 2021

Summary

A new C++ software tool significantly speeds up cardiac T1 map calculations using the reduced-dimension method. This tool offers rapid and accurate T1 mapping, crucial for cardiac magnetic resonance imaging analysis.

Keywords:

Heart MRI Parameter estimation T1 mapping

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Area of Science:

Medical Imaging
Cardiovascular Imaging
Computational Science

Background:

Cardiac magnetic resonance imaging (CMR) is vital for assessing heart conditions.
Accurate T1 mapping is essential for quantitative analysis in CMR.
Existing T1 map calculation methods can be computationally intensive.

Purpose of the Study:

To develop a software tool for efficient T1 map calculation in CMR.
To evaluate and compare the computational efficiency of various T1 map calculation methods.
To assess the accuracy and agreement of the fastest methods.

Main Methods:

Utilized the modified Look-Locker inversion recovery (MOLLI) sequence for image acquisition.
Evaluated MRmap, Python (LM, RD), and C++ (single/multi-core LM, RD) for T1 map computation.
Assessed computational time and Bland-Altman agreement for myocardial T1 values.

Main Results:

C++ multi-core reduced-dimension (RD) method was the fastest, with computation times as low as 1.9 seconds.
The fastest C++ multi-core RD and publicly available MRmap showed excellent agreement for T1 values.
Bland-Altman analysis confirmed minimal mean differences for pre- and post-contrast T1 maps.

Conclusions:

C++ multi-core RD is the most efficient method for T1 map calculation on standard hardware.
The developed software (fT1fit) enables rapid T1 and extracellular volume fraction mapping.
This advancement improves the speed and feasibility of quantitative CMR analysis.