Abstract #3604

Multicomponent Analysis of High b-value Diffusion-Weighted MRI for Tracking Progression of Amyotrophic Lateral Sclerosis in A Mouse Model

Jin Gao^1,2, Mingchen Jiang³, Richard Magin⁴, Andrew Larson⁵, and Weiguo Li^2,4,5

¹Department of Electrical & Computer Engineering, University of Illinois at Chicago, Chicago, IL, United States, ²Research Resources Center, University of Illinois at Chicago, Chicago, IL, United States, ³Department of Physiology, Northwestern University, Chicago, IL, United States, ⁴Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, United States, ⁵Department of Radiology, Northwestern University, Chicago, IL, United States

Amyotrophic lateral sclerosis (ALS) is a progressive disease of motor neuron degeneration in brain and spinal cord with an unknown etiology. Diffusion MRI has potential to track the disease progression in ALS due to the technique’s intrinsic advantages in detecting structure changes and non-invasive nature. In this study, we investigated the feasibility of analyzing multiple high b-value diffusion-weighted images using a non-negative least squares method (requiring no prior assumptions about components) and a bi-compartment model with restricted and hindered diffusion components. Both methods were able to detect alterations of spinal cord in the G93A-SOD1 mouse model of ALS.

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