Abstract #4065
High Order Diffusion Tensor Imaging for Breast Cancer Differentiation
Jose Ramon Teruel 1,2 , Hans Erikssnn Fjsne 3,4 , Agnes stlie 5 , Pl Erik Goa 2,6 , and Tone Frost Bathen 1
1
Department of Circulation and Medical
Imaging, NTNU, Trondheim, Norway,
2
St.
Olavs University Hospital, Trondheim, Norway,
3
Department
of Surgery, St. Olavs University Hospital, Trondheim,
Norway,
4
Institute
of Cancer Research and Molecular Medicine, NTNU,
Trondheim, Norway,
5
Department
of Radiology, St. Olavs University Hospital, Trondheim,
Norway,
6
Department
of Physics, NTNU, Trondheim, Norway
In our study we evaluate the potential of a 4th order
diffusion tensor imaging (DTI) model for breast cancer
differentiation. Our results reveal how this model
outperforms standard DTI for differentiation of
malignant and benign lesions, and healthy fibroglandular
tissue. In particular, fractional anisotropy derived
from this model is found to increase the potential of
diffusivity markers to differentiate malignant and
benign lesions.
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