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Updated: Jun 11, 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

Accelerated 2D radial Look-Locker T1 mapping using a deep learning-based rapid inversion recovery sampling technique.

Eze Ahanonu¹, Ute Goerke², Kevin Johnson³

¹Department of Electrical and Computer Engineering, The University of Arizona, Tucson, Arizona, USA.

NMR in Biomedicine

|October 3, 2024

Summary

This summary is machine-generated.

This study introduces a new T1-mapping method for efficient abdominal imaging. It achieves full coverage within a single breath-hold period (BHP) using rapid T1 recovery curve (T1RC) sampling and a convolutional neural network (CNN).

Keywords:

Look‐Locker T1 mapping abdominal imaging deep learning radial sampling single‐shot inversion recovery

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Last Updated: Jun 11, 2025

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Area of Science:

Medical Imaging
Magnetic Resonance Imaging (MRI)

Background:

Clinical T1-mapping for abdominal imaging is limited by breath-hold period (BHP) and T1 recovery time.
Current methods struggle with efficient and comprehensive abdominal coverage.

Purpose of the Study:

To develop an efficient T1-mapping framework for complete abdominal coverage within a single BHP.
To improve T1 estimation accuracy and repeatability in abdominal MRI.

Main Methods:

Developed a T1-mapping framework using rapid T1 recovery curve (T1RC) sampling, slice-selective inversion, optimized slice interleaving, and a convolutional neural network (CNN).
Evaluated T1RC sampling reduction and slice interleaving strategies.
Assessed framework repeatability through in vivo imaging sessions.

Main Results:

A T1RC of 0.84s with the CNN framework yielded T1 estimates comparable to reference values (2.5-5s T1RC), with no significant changes in mean T1 or T1 variability.
Prospectively acquired data achieved 21 slices in a 20s BHP, with T1 values within 2% of reference.
Repeatability experiments showed high correlation (0.99), low repeatability coefficient (2.5%), and coefficient of variation (0.12%).

Conclusions:

The proposed T1-mapping framework enables efficient, full abdominal coverage within a single breath-hold period.
The method demonstrates high accuracy, minimal T1 variability, and excellent repeatability for abdominal T1 quantification.