Abstract #0727
Diffusion Tensor Imaging in Patients with Glioblastoma Multiforme using the Supertoroidal Model
Choukri Mekkaoui 1 , Fabricio Pereira 2 , William J Kostis 3 , and Marcel P Jackowski 4
1
Harvard Medical School - Massachussetts
General Hospital, Boston, MA, United States,
2
CHU
Nmes, France,
3
Harvard
Medical School-Massachusetts General Hospital, Boston,
MA, United States,
4
University
of So Paulo, So Paulo, Brazil
Diffusion Tensor Imaging (DTI) has been used extensively
for the diagnosis and prognosis of cerebral lesions as
well as for surgical planning. Traditional tensor
representations, however, have difficulties in
differentiating tumor-infiltrated regions and
peritumoral edema. In this work, we employ the
supertoroidal model of the diffusion tensor and the
toroidal volume (TV) in the characterization of
Glioblastoma multiforme (GBM). We show that the
supertoroidal model is better suited to identifying the
heterogeneity of structure in GBMs and that the
nonlinear response of TV can enhance differentiation of
gliomas from surrounding edema and normal brain
parenchyma.
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