Abstract #2998

Dynamic Oxygen-17 MRI with Adaptive Reconstruction using Golden-Means-Based 3D Radial Sampling

Yuning Gu¹, Huiyun Gao², Kihwan Kim¹, Ciro Ramos-Estebanez³, Yunmei Wang², and Xin Yu^1,4,5

¹Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, ²Case Cardiovascular Research Institute, Case Western Reserve University, Cleveland, OH, United States, ³Department of Neurology, Case Western Reserve University, Cleveland, OH, United States, ⁴Department of Radiology, Case Western Reserve University, Cleveland, OH, United States, ⁵Department of Physiology and Biophysics, Case Western Reserve University, Cleveland, OH, United States

A golden-means-based 3D radial sampling and k-space weighted image reconstruction method was developed for dynamic tracking of intravenously injected ¹⁷O-water in mouse brain. The method enabled image reconstruction with adaptive temporal resolution of 3 to 15 s to capture the regional differences in ¹⁷O-water uptake and washout kinetics in post-stroke mice, with an isotropic voxel size of 1.77 µL on a 9.4T scanner.

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