Keywords: Myocardium, Quantitative Imaging
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.
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