Abstract #4177

Fractional Motion Diffusion Model for Differentiation of Low- and High-Grade Pediatric Brain Tumors

Muge Karaman¹, Ying Xiong^1,2, He Wang³, Frederick C Damen^1,4, Yuhua Li⁵, and X. Joe Zhou^1,6

¹Center for MR Research, University of Illinois at Chicago, Chicago, IL, United States, ²Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, People's Republic of, ³Philips Research China, Shanghai, China, People's Republic of, ⁴Department of Radiology, University of Illinois at Chicago, Chicago, IL, United States, ⁵Department of Radiology, Xinhua Hospital, Shanghai, China, People's Republic of, ⁶Departments of Radiology, Neurosurgery, and Bioengineering, University of Illinois at Chicago, Chicago, IL, United States

It has been well-recognized that the complexity of biological tissues, particularly the brain tumors with high degree of structural heterogeneity, requires more sophisticated diffusion models than a simple mono-exponential model due to the non-Gaussian behavior. Among these, a newly introduced model to MRI, the fractional motion (FM) model has been the focus of many biophysical studies at the molecular level. While the FM model has been demonstrated at the voxel-level, it has not been utilized to address a clinical question. In this study, we investigate the utility of FM model for differentiating low-grade and high-grade pediatric brain tumors.

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