Abstract #4383
Differentiation of Low-Grade and High-Grade Gliomas Using A Non-Gaussian Diffusion Imaging Model
Yi Sui 1,2 , Ying Xiong 1,3 , Karen Xie 4 , Frederick C. Damen 1 , Xiaohong Joe Zhou 1,5 , and Wenzhen Zhu 3
1
Center for MR Research, University of
Illinois Hospital & Health Sciences System, Chicago, IL,
United States,
2
Bioengineering,
University of Illinois at Chicago, Chicago, IL, United
States,
3
Radiology,
Tongji Hospital, Wuhan, Hubei, China,
4
Radiology,
University of Illinois Hospital & Health Sciences
System, Chicago, IL, United States,
5
Departments
of Radiology, Neurosurgery and Bioengineering,
University of Illinois Hospital & Health Sciences
System, Chicago, IL, United States
Fractional order calculus (FROC) diffusion model can
provide additional parameters to characterizing not only
the average diffusion speed, but also the complexity of
tissue structures. Previous studies have shown promising
results of using the FROC model to differentiate
pediatric brain tumors. In this study, we have applied
the FROC model to a group of adult gliomas patients and
demonstrated its capability of improving the MR-based
diagnostic accuracy for differentiating low-grade from
high-grade gliomas.
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