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Abstract #3305

Validation of the Multicomponent Diffusion Analysis using L1-norm regularized NNLS for Ultra-high b-value Diffusion-weighted MRI protocols

Jin Gao1,2, Weiguo Li2,3, Richard Magin3, and Danilo Erricolo1
1Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL, United States, 2Research Resources Center, University of Illinois at Chicago, Chicago, IL, United States, 3Biomedical Engineering, University of Illinois at Chicago, Chicago, IL, United States

Synopsis

Multiple components analysis as a convenient tool to model multiexponential relaxations has been well developed in the applications of T2-weighted MRI. Nevertheless, this analysis is rarely used in diffusion-weighted MRI data and the lack of systematic studies makes the situation worse. Building on our previous studies, to validate the performance of the analysis becomes critical to carry out the ultra-high b-value DWI technique in vivo or translate to the clinical applications. We, therefore, proposed this phantom study to validate the stability and robustness of the multiple components analysis applied in the ultra-high b-value DWI technique.

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