Meeting Banner
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 Yu1,4,5
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 ┬ÁL on a 9.4T scanner.

This abstract and the presentation materials are available to members only; a login is required.

Join Here