Abstract #3216
In Vivo Relaxation-Diffusion Correlation Revealed MRI Distribution Spectra of the Human Brain Using Genetic Algorithm Optimized Acquisitions
Lixian Wang1,2, Baogui Zhang1,2,3, Huilou Liang1,2, Yue Wu1,2, Jing An4, Yan Zhuo1,2,5, Rong Xue1,2,6, and Fangrong Zong7
1State Key Laboratory of Brain and Cognitive Sciences, Beijing MRI Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China, 2University of Chinese Academy of Sciences, Beijing, China, 3Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China, 4Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China, 5CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing, China, 6Beijing Institute for Brain Disorders, Beijing, China, 7Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
Synopsis
Multidimensional MRI experiments have shown unique significance in resolving the correlations between physical parameters and relaxation properties. This study showed T1 Relaxation-Diffusion correlation imaging spectra of an in vivo human brain and a multicomponent phantom with optimized acquisitions. The acquisition paradigm was obtained from genetic algorithm (GA) by maximizing the singular values of the corresponding kernel functions. We detected significant differences in these spectra inversed from different components, which might help to identify tissue microstructure at the sub-voxel resolution. Our study offered a high probability of applying multidimensional MRI techniques in diagnosing neurological diseases.
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