Abstract #0603

Quantitative Susceptibility Mapping (QSM) based Cerebral Metabolic Rate of Oxygen (CMRO2) Mapping: Eliminating Blood Flow Challenge with Minimal Local Variance (MLV)

Jingwei Zhang^1,2, Dong Zhou², Sarah Eskreis-Winkler², 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

We propose a cerebral metabolic rate of oxygen consumption (CMRO2) mapping method without blood flow challenge using quantitative susceptibility mapping, cerebral blood flow and a regularization of minimal local variance (MLV) within the same type of tissue. Getting rid of blood flow challenge would vastly increase the clinical utility of MRI CMRO2. The MNV CMRO2 maps were very similar to CMRO2 maps using caffeine as challenge, with no significant bias in value.

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