Abstract #0980
Enhanced tissue classification of acute ischemic diffusion kurtosis lesion with intrinsic kurtosis heterogeneity correction
Phillip Zhe Sun 1 , Yu Wang 1 , Emiri Mandeville 2 , Mark Vangel 1 , Eng Lo 2 , and Xunming Ji 3
1
Radiology, Martinos Center for Biomedical
Imaging, Charlestown, MA, United States,
2
Neuroprotection
Research Laboratory, Department of Radiology and
Neurology, Massachusetts General Hospital, Harvard
Medical School, MA, United States,
3
Cerebrovascular
Diseases Research Institute, Xuanwu Hospital of Capital
Medical University, Beijing, China
Recent studies have shown that mean kurtosis (MK) can
stratify irreversibly damaged ischemic DWI lesion.
However, the kurtosis map is heterogeneous due to
complex cerebral structure and composition, reducing its
specificity to ischemia. We evaluated the correlation
between MK, diffusivity (MD), fractional anisotropy (FA)
and relaxation, and found significant correlation
between MK and R1 (P<0.001). Using an animal stroke
model, we demonstrated that relaxation-normalized
kurtosis MRI significantly enhanced tissue segmentation
of ischemic kurtosis lesion over the standard MK map. We
also found significant diffusion/kurtosis lesion
mismatch, with MK and MD lesion volumes measuring 17278
and 20693 mm3, respectively.
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