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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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