Abstract #1719

Quantitative Susceptibility Mapping (QSM) based Cerebral Metabolic Rate of Oxygen (CMRO2) Mapping: Improve Robustness with Preconditioning and Physiological Constraints

Jingwei Zhang^1,2, Dong Zhou², Thanh Nguyen², Pascal Spincemaille², Ajay Gupta², and Yi Wang^1,2

¹Biomedical Engineering, Cornell University, New York, NY, United States, ²Radiology, Weill Cornell Medical College, New York, NY, United States

This study proposed a new post-processing algorithm with preconditioning and physiological constraints for QSM based CMRO2 mapping, which eliminated physiologically impossible OEF values and improved the robustness of the technique. Reproducibility of the proposed method was examined. Feasibility of hyperventilation as a more efficient blood flow challenge was also investigated.

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