Simultaneously T2 and T2* mapping via MOLED acquisition and deep learning for oxygen extraction fraction measurement

Motivation: Quantitative MRI for the measurement of oxygen extraction fraction (OEF) offers the advantage of being radiation-free. However, the quantification of T2 and T2∗ parameters still suffers from long acquisition time, especially in dynamic imaging. Goal(s): To evaluate the applicability of ultrafast dynamic multiple overlapping-echo detachment (MOLED) imaging for OEF research. Approach: The MOLED imaging was utilized for rapidly and synchronously mapping T2 and T2∗ to dynamically track OEF changes during both breathing and breath-holding conditions. Results: The time envelope of mean OEF under both breathing and breath-holding is in agreement with the literature reported. Impact: Owing to its fast and dynamic imaging capabilities, the multiple overlapping-echo detachment (MOLED) T2-T2* acquisition has shown great potential in the quantitative measurement of the brain's oxygen metabolism, which holds significant relevance in assisting the diagnosis of diseases.