Abstract #3888
Evaluation of the Efficiency of DTI Anisotropy Indices to Detect Breast Cancer
Edna Furman-Haran 1 , Dov Grobgeld 2 , Noam Nissan 2 , Myra Feinberg-Shapiro 3 , Tania Zehavi 3 , Zvi Kaufman 3 , and Hadassa Degani 2
1
Department of Biological Services, The
Weizmann Institute of Science, Rehovot, Israel,
2
Department
of Biological Regulation, The Weizmann Institute of
Science, Rehovot, Israel,
3
Meir
Medical Center, Kfar Saba, Israel
DTI tracks the water diffusion in different directions
and thereby allows characterizing breast microstructures
with restricted diffusion, revealing their organization
in vector/ellipsoid-maps and parametric-maps of
anisotropy-indices, derived from the diffusion tensor
eigenvectors and eigenvalues, respectively. The study
evaluates of the various anisotropy-indices
investigating their ability to detect breast cancer. The
results indicate that the commonly used normalized
anisotropy-indices fail to differentiate cancer from
normal tissue, while the un-normalized maximal
anisotropy index is significantly lower in cancer as
compared to normal tissue and can be efficiently used
for detecting breast cancer in conjunction with the
reduction in the diffusion coefficients.
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