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Abstract #0181

Multi-echo Complex QSM+qBOLD (mcQQ) for Oxygen Extraction Fraction (OEF) mapping

Junghun Cho1, Jinwei Zhang2, Pascal Spincemaille1, Hang Zhang2, Thanh D. Nguyen1, Ajay Gupta1, and Yi Wang1,2
1Radiology, Weill Cornell Medicine, New York, NY, United States, 2Biomedical Engineering, Cornell University, Ithaca, NY, United States


Quantitative mapping of oxygen extraction fraction (OEF) is critical to evaluate brain tissue viability and function in neurologic disorders. An integrated model of QSM and qBOLD (QSM+qBOLD or QQ) has been developed to map OEF from a routine gradient echo MRI without the need for vascular challenges, and QQ inversion can be obtained using deep learning. This study proposes a multi-echo complex QQ (mcQQ) that improves fidelity to data noise characteristics using complex domain. The proposed mcQQ provided more accurate OEF in simulation and an improved sensitivity to OEF abnormalities in ischemic stroke patients, compared to the current QQ method.

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