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Abstract #4820

BrainQuan: An integrated tool for automated and region-specific analysis of multi-parametric brain MRI data

Xiang Feng1, Meng Xiao Liu2, Guang Yang3, and Xu Yan2

1MR Scientific Marketing, Siemens Healthcare., Beijing, China, 2MR Scientific Marketing, Siemens Healthcare., Shanghai, China, 3Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China

This abstract presents an integrated tool, namely BrainQuan, developed in Python to automatically segment the brain MRI into sub-regions, align the multi-parametric MRI data into the same space, and then extract the region-specific information from quantitative MRI data, such as quantitative susceptibility maps and diffusion parameters in these brain sub-regions. This tool provides an easy and comprehensive solution for several pilot studies spanning a range of applications: infant brain, brain morphology analysis and neuro-degenerative diseases. BrainQuan might be helpful to establish potential biomarkers from many different quantitative brain MRI data.

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