A physical model for DT-MRI based connectivity map computation.

Erdem Yörük; Burak Acar; Roland Bammer

doi:10.1007/11566465_27

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A physical model for DT-MRI based connectivity map computation.

Erdem Yörük·Burak Acar·Roland Bammer

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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.

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Algorithms Artificial Intelligence Brain Computer Simulation Diffusion Magnetic Resonance Imaging Humans Image Enhancement Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Models, Biological Nerve Fibers, Myelinated Pattern Recognition, Automated Reproducibility of Results Sensitivity and Specificity Evaluation Study Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

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Erdem Yörük, Burak Acar, Roland Bammer. 2005. A physical model for DT-MRI based connectivity map computation.. https://doi.org/10.1007/11566465_27

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