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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
Motion correction for myocardial T1 mapping using image registration with synthetic image estimation.
Hui Xue1, Saurabh Shah, Andreas Greiser
1Siemens Corporate Research, Princeton, New Jersey, USA. hui-xue@siemens.com
Magnetic Resonance in Medicine
|December 3, 2011
Summary
This study introduces a new algorithm to correct respiratory motion during cardiac T1 mapping. This method improves the accuracy of myocardial T1 relaxation quantification for better cardiomyopathy diagnosis.
Area of Science:
- Cardiovascular Imaging
- Medical Physics
- Biomedical Engineering
Background:
- Myocardial T1 relaxation quantification aids in diagnosing cardiomyopathies.
- Modified Look-Locker inversion recovery is a feasible technique for T1 mapping.
- Respiratory motion significantly degrades T1 estimation accuracy.
Purpose of the Study:
- To develop a novel motion correction algorithm for T1 mapping.
- To address challenges in registering inversion recovery images with varying contrast.
- To improve the accuracy of T1 estimation in the presence of respiratory motion.
Main Methods:
- Proposed a novel motion correction algorithm based on estimating synthetic images.
- Formulated synthetic image estimation as a variational energy minimization problem.
- Validated the approach on a patient data cohort.
Main Results:
- The algorithm performs robust nonrigid registration of inversion recovery images.
- Successfully aligned images affected by significant respiratory motion.
- Demonstrated suppression of motion-induced artifacts in T1 maps.
Conclusions:
- The proposed motion correction strategy enhances the reliability of cardiac T1 mapping.
- This technique improves the diagnostic value of T1 quantification in cardiomyopathies.
- The method offers a solution for motion-related inaccuracies in cardiovascular imaging.
