Quan Jiang1,2, Niloufar Fozouni1,2,
Siamak Pourabdollah-Nejad1, Zheng Gang Zhang1, Norman
L. Lehman3, Steven Gu4, Jiani Hu5, Hassan
Bagher-Ebadian1, Michael Chopp1,2
1Neurology, Henry Ford Health System,
Detroit, MI, United States; 2Physics, Oakland University,
Rochester, MI, United States; 3Pathology, Henry Ford Health
System, Detroit, MI, United States; 4Cornell University; 5MR
Center, Wayne State University, Detroit
To
overcome errors introduced via the assumption of a Gaussian diffusion tensor
model when dealing with multiple fiber orientations, a diffusion entropy
measurement is introduced to evaluate its relationship with axonal density
and its ability to characterize brain tissues in different brain structures.
Entropy appears not only to exhibit enhanced dynamic range of contrast compared
with FA but also demonstrated a significant correlation with axonal density
measured from immunohistological analysis. Our data suggest that entropy may
provide important information on axonal reorganization in neurological
diseases.