Topology Simplification Algorithm for Segmentation of Medical Scans: Application to the Segmentation of Brain MRI Images - Couverture souple

Jaume, Sylvain

 
9783838317625: Topology Simplification Algorithm for Segmentation of Medical Scans: Application to the Segmentation of Brain MRI Images
Couverture souple
ISBN 10 : 3838317629 ISBN 13 : 9783838317625
Editeur : LAP Lambert Academic Publishing, 2009

Synopsis

Magnetic Resonance Imaging, Computed Tomography, and other technologies of 3D medical imaging are routinely used to visualize a particular structure in the patient?s body. The classification of the image region corresponding to this structure is called segmentation. For applications in Neuroscience, it is paramount for the segmentation of a brain scan to represent the brain boundary as a folded surface with no holes. However, in practice, a brain scan segmentation generally exhibits many erroneous holes. To address this issue which affects Medicine, Graphics and Industrial Design, I focused my PhD work on developing an algorithm for automatically correcting holes in 3D scanned data. Upon concepts of Discrete Topology and Computational Geometry, my topology simplification algorithm built upon the construction of front propagations and Reeb graphs. Based on experiments with clinical data, I proved that my algorithm successfully corrected the erroneous holes with high accuracy and low complexity even for images that exceeded the computer main memory. To enable radiologists to obtain a correct segmentation, I made the software that I developed available at http://www.opentopology.org.

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Présentation de l'éditeur

Magnetic Resonance Imaging, Computed Tomography, and other technologies of 3D medical imaging are routinely used to visualize a particular structure in the patient?s body. The classification of the image region corresponding to this structure is called segmentation. For applications in Neuroscience, it is paramount for the segmentation of a brain scan to represent the brain boundary as a folded surface with no holes. However, in practice, a brain scan segmentation generally exhibits many erroneous holes. To address this issue which affects Medicine, Graphics and Industrial Design, I focused my PhD work on developing an algorithm for automatically correcting holes in 3D scanned data. Upon concepts of Discrete Topology and Computational Geometry, my topology simplification algorithm built upon the construction of front propagations and Reeb graphs. Based on experiments with clinical data, I proved that my algorithm successfully corrected the erroneous holes with high accuracy and low complexity even for images that exceeded the computer main memory. To enable radiologists to obtain a correct segmentation, I made the software that I developed available at http://www.opentopology.org.

Biographie de l'auteur

Sylvain Jaume graduated in 2004 with a PhD in Electrical Engineering from Universite catholique de Louvain (UCL). From 2005 to 2009 he worked at Kitware Inc. and Siemens Corporate Research USA. He now holds a dual appointment with MIT Computer Science and Artificial Intelligence Laboratory and Harvard Medical School.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP Lambert Academic Publishing
Date d'édition
2009
Langue
anglais
ISBN 10 
3838317629
ISBN 13 
9783838317625
Reliure
Broché
Nombre de pages
132
Coordonnées du fabricant
non disponible
Personne responsable
KreGa Onlinehandel GmbH
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Autres éditions populaires du même titre

9782930344478: Topology Simplification Algorithm for the Segmentation of Medical Scans

Edition présentée

ISBN 10 :  2930344474 ISBN 13 :  9782930344478
Couverture souple