Myocardial Tissue Composition Quantification at Systole, Diastole, Expiration and Inspiration

Motivation: We aim to develop a new method based on multi-compartment modeling to quantify myocardial tissue composition using MOLLI T1 mapping sequence. Goal(s): In this pilot study, we evaluated how the cardiac function, respiration, and age may impact the quantification. Approach: Data were acquired at end-systole/diastole, and end-expiration/inspiration. A series of maps were derived, including T1/T2 relaxation times, and fractions of three compartments: macromolecular proton, bound water and free water pools. Results: The changes found in bound water and free water quantification matched human physiology. The developed method could provide a new non-invasive imaging tool for mapping tissue composition. Impact: Quantifying myocardial tissue composition is valuable but very challenging. This pioneering work quantifies myocardial bound water and free water in a single breath-hold scan. It reveals the underlying tissue microstructure, which may open a new door for many applications.