Segmenting white matter bundles from human tractograms is a task of interest for several applications. Current methods for bundle segmentation consider either only prior knowledge about the relative anatomical position of a bundle, or only its geometrical properties. Our aim is to improve the results of segmentation by proposing a method that takes into account information about both the underlying anatomy and the geometry of bundles at the same time. To achieve this goal, we extend a state-of-the-art example-based method based on the Linear Assignment Problem (LAP) by including prior anatomical information within the optimization process. The proposed method shows a significant improvement with respect to the original method, in particular on small bundles.

Anatomically-Informed Multiple Linear Assignment Problems for White Matter Bundle Segmentation / Berto, Giulia; Avesani, Paolo; Pestilli, Franco; Bullock, Daniel; Caron, Bradley; Olivetti, Emanuele. - ELETTRONICO. - (2019), pp. 135-138. ((Intervento presentato al convegno International Symposium on Biomedical Imaging tenutosi a Venice, Italy nel 8th April-11th April 2019 [10.1109/ISBI.2019.8759174].

Anatomically-Informed Multiple Linear Assignment Problems for White Matter Bundle Segmentation

Berto, Giulia;Pestilli, Franco;Olivetti, Emanuele
2019

Abstract

Segmenting white matter bundles from human tractograms is a task of interest for several applications. Current methods for bundle segmentation consider either only prior knowledge about the relative anatomical position of a bundle, or only its geometrical properties. Our aim is to improve the results of segmentation by proposing a method that takes into account information about both the underlying anatomy and the geometry of bundles at the same time. To achieve this goal, we extend a state-of-the-art example-based method based on the Linear Assignment Problem (LAP) by including prior anatomical information within the optimization process. The proposed method shows a significant improvement with respect to the original method, in particular on small bundles.
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)
Bertò, Giulia; Avesani, Paolo; Pestilli, Franco; Bullock, Daniel; Caron, Bradley; Olivetti, Emanuele
Venice, Italy
Institute of Electrical and Electronics Engineers Inc.
978-1-5386-3641-1
Berto, Giulia; Avesani, Paolo; Pestilli, Franco; Bullock, Daniel; Caron, Bradley; Olivetti, Emanuele
Anatomically-Informed Multiple Linear Assignment Problems for White Matter Bundle Segmentation / Berto, Giulia; Avesani, Paolo; Pestilli, Franco; Bullock, Daniel; Caron, Bradley; Olivetti, Emanuele. - ELETTRONICO. - (2019), pp. 135-138. ((Intervento presentato al convegno International Symposium on Biomedical Imaging tenutosi a Venice, Italy nel 8th April-11th April 2019 [10.1109/ISBI.2019.8759174].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/241401
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