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Abstract #4504

Intravoxel Tissue Heterogeneity: One-to-one Correspondence between Non-Gaussian Diffusion MRI Parameters and Histologic Features

Muge Karaman1,2, Lingdao Sha3, Tingqi Shi1, Dan Schonfeld2,3,4, Tibor Valyi-Nagy5, and X Joe Zhou1,2,6
1Center for Magnetic Resonance Research, University of Illinois at Chicago, Chicago, IL, United States, 2Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, United States, 3Department of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL, United States, 4Department of Computer Science, University of Illinois at Chicago, Chicago, IL, United States, 5Department of Pathology, University of Illinois at Chicago, Chicago, IL, United States, 6Departments of Radiology and Neurosurgery, University of Illinois at Chicago, Chicago, IL, United States

The parameters of the continuous-time random-walk (CTRW) model have been shown to be related to the underlying tissue heterogeneity. However, it has been challenging to establish a rigorous correlation between the CTRW parameters and the gold-standard histology. This is primarily because the histopathological evaluation of tissue heterogeneity is a labor-intensive task. We develop a machine-learning algorithm that quantifies the microscopic tissue heterogeneity revealed by histology as probability maps; and demonstrate a one-to-one correspondence between the CTRW parameters and tissue structural heterogeneity. Our results have provided evidence towards establishing a correlation between the CTRW parameter values and tissue heterogeneity.

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