A physical model for DT-MRI based connectivity map computation

Authors:
Erdem Yörük;Burak Acar;Roland Bammer
Affiliations:
Department of Electrical&Electronics Engineering, Boğaziçi University, Turkey;Department of Electrical&Electronics Engineering, Boğaziçi University, Turkey;LUCAS MRS/I Center, Department of Radiology, Stanford University, CA
Venue:
MICCAI'05 Proceedings of the 8th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Year:
2005

Citing 2
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Abstract

In this study we address the problem of extracting a robust connectivity metric for brain white matter. We defined the connectivity problem as an energy minimization task, by associating the DT-field to a physical system composed of nodes and springs, with their constants defined as a function of local structure. Using a variational approach we formulated a fast and stable map evolution, which utilizes an anisotropic kernel smoothing scheme equivalent to a diffusion PDE. The proposed method provides connectivity maps that correlate with normal anatomy on real patient data.