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Erschienen in:
2003 | OriginalPaper | Buchkapitel
Tensor Field Regularization Using Normalized Convolution
verfasst von : Carl-Fredrik Westin, Hans Knutsson
Erschienen in: Computer Aided Systems Theory - EUROCAST 2003
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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This paper presents a filtering technique for regularizing tensor fields. We use a nonlinear filtering technique termed normalized convolution [Knutsson and Westin 1993], a general method for filtering missing and uncertain data. In the present work we extend the signal certainty function to depend on locally derived certainty information in addition to the a priory voxel certainty. This results in reduced blurring between regions of different signal characteristics, and increased robustness to outliers. A driving application for this work has been filtering of data from Diffusion Tensor MRI.