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Abstract #2407

A GPU-Accelerated Software Toolbox for Simulation and Analysis of Diffusion MRI in Microstructures with a Graphical User Interface

Junzhong Xu1, Xiaoyu Jiang1, Sean P Devan2, Adithya Pamulaparthi2, Nicholas Yan3, Zhongliang Zu1, David S Smith1, Kevin D Harkins1, and John C Gore1
1Vanderbilt University Medical Center, Nashville, TN, United States, 2Vanderbilt University, Nashville, TN, United States, 3High School, Knoxville, TN, United States

Synopsis

Keywords: Diffusion Software, Diffusion/other diffusion imaging techniques, software, simulation, analysis

Motivation: Simulation and analysis of diffusion MRI (dMRI) in microstructures requires specialized expertise that limits its wide usage.

Goal(s): To provide an easy-to-use dMRI software package to enable end users to simulate and analyze diffusion in complex media.

Approach: MATI is written using object-oriented programming in two versions (MATLAB and Python) and can be used via a GUI or scripts. It can handle typical diffusion pulse sequences and various microstructures for data fitting, and arbitrary digitalized microstructures for simulating dMRI with GPU acceleration.

Results: A GPU-accelerated dMRI simulation and data fitting toolbox with a GUI has been developed for public use.

Impact: MATI, a GPU-accelerated toolbox for simulating and analyzing dMRI signals in various microstructures with a graphical user interface (GUI), has been developed. This easy-to-use package enables non-expert and expert users to simulate and analyze diffusion MRI signals in complex media.

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Keywords