Topology Simplification Algorithm for the Segmentation of Medical Scans

Magnetic Resonance Imaging, Computed Tomography, and other image modalities areroutinely used to visualize a particular structure in the patient's body. The classificationof the image region corresponding to this structure is called segmentation... Continuer

Magnetic Resonance Imaging, Computed Tomography, and other image modalities 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 important for the segmentation of a brain scan to represent the boundary of the brain as a single folded sheet. However the segmentation of the brain generally exhibits many erroneous holes. Consequently we have developed an algorithm for automatically removing holes in segmented medical scans while preserving the accuracy of the image. Upon concepts of Discrete Topology, we correct the holes based on the smallest modification to the image. First we detect each hole with a front propagation and a Reeb graph. Then we search for a number of loops around the hole on the isosurface of the image. Finally we select the loop that minimizes the modification to the image and correct the hole in the image. At each step we limit the size of the data in memory. With these contributions our algorithm removes every hole in the image with high accuracy and low complexity even for images that do not fit into the main memory. To help doctors and scientists to obtain segmentations without holes, we make our software publicly available.

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Spécifications


Éditeur
Presses universitaires de Louvain
Partie du titre
Numéro 24
Auteur
Sylvain Jaume,
Collection
Thèses de l'École polytechnique de Louvain
Langue
anglais
Catégorie (éditeur)
Sciences appliquées > Informatique > Réseaux et télécommunication
Catégorie (éditeur)
Sciences appliquées > Électricité
Catégorie (éditeur)
Sciences appliquées
BISAC Subject Heading
TEC000000 TECHNOLOGY & ENGINEERING
Code publique Onix
06 Professional and scholarly
CLIL (Version 2013 )
3069 TECHNIQUES ET SCIENCES APPLIQUEES
Date de première publication du titre
2004
Type d'ouvrage
Thèse

Livre broché


Details de produit
1 Couverture pelliculée
Date de publication
2004
ISBN-13
9782930344478
Ampleur
Nombre de pages de contenu principal : 120
Code interne
2930344474
Format
16 x 24 x 0,7 cm
Poids
306 grammes
Prix
22,00 €
ONIX XML
Version 2.1, Version 3

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Abstract . . . . . . . . . . . . . . . . . . . . 1
1 Introduction . . . . . . . . . . . . . . . . . . . . 3
1.1 Imaging modalities . . . . . . . . . . . . . . . . . . . . 3
1.2 Representation of the medical scan . . . . . . . . .


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