Abstract #3216

In Vivo Relaxation-Diffusion Correlation Revealed MRI Distribution Spectra of the Human Brain Using Genetic Algorithm Optimized Acquisitions

Lixian Wang^1,2, Baogui Zhang^1,2,3, Huilou Liang^1,2, Yue Wu^1,2, Jing An⁴, Yan Zhuo^1,2,5, Rong Xue^1,2,6, 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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