Phase-sensitive inversion recovery for myocardial T1 mapping with motion correction and parametric fitting

Area of Science:

• Cardiovascular Magnetic Resonance Imaging
• Medical Imaging Physics

Background:

• Accurate myocardial T1 mapping is crucial for assessing myocardial fibrosis and extracellular volume.
• Respiratory motion and conventional T1 fitting methods limit current T1 mapping techniques.
• Existing methods can result in unstable T1 estimates and high computational costs.

Purpose of the Study:

• To develop a novel, robust, and computationally efficient T1 mapping scheme for cardiac MRI.
• To overcome limitations of respiratory motion and conventional magnitude-based T1 fitting.
• To improve the accuracy and stability of myocardial T1 estimates.

Main Methods:

• A novel T1 mapping scheme utilizing phase-sensitive reconstruction and MR signal polarity restoration.
• Background phase removal followed by image registration for motion correction.
• Quantitative validation on a cohort of 45 patients with varying image contrast.

Main Results:

• The proposed phase-sensitive method demonstrates robustness across different image contrasts.
• Improved quality of T1 maps with reduced computational cost compared to conventional methods.
• Significantly less fluctuation in T1 estimates using phase-sensitive fitting versus magnitude fitting.

Conclusions:

• The novel phase-sensitive T1 mapping scheme offers improved accuracy and stability for myocardial assessment.
• This method effectively addresses motion artifacts and computational challenges in T1 mapping.
• The technique shows promise for more reliable clinical assessment of myocardial fibrosis and extracellular volume.