Construction of patient specific atlases from locally most similar anatomical pieces.

Liliane Ramus 1, 2, * Olivier Commowick 3, * Grégoire Malandain 1
* Corresponding author
1 ASCLEPIOS - Analysis and Simulation of Biomedical Images
CRISAM - Inria Sophia Antipolis - Méditerranée
3 VisAGeS - Vision, Action et Gestion d'informations en Santé
INSERM - Institut National de la Santé et de la Recherche Médicale : U746, Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
Abstract : Radiotherapy planning requires accurate delineations of the critical structures. To avoid manual contouring, atlas-based segmentation can be used to get automatic delineations. However, the results strongly depend on the chosen atlas, especially for the head and neck region where the anatomical variability is high. To address this problem, atlases adapted to the patient's anatomy may allow for a better registration, and already showed an improvement in segmentation accuracy. However, building such atlases requires the definition of a criterion to select among a database the images that are the most similar to the patient. Moreover, the inter-expert variability of manual contouring may be high, and therefore bias the segmentation if selecting only one image for each region. To tackle these issues, we present an original method to design a piecewise most similar atlas. Given a query image, we propose an efficient criterion to select for each anatomical region the K most similar images among a database by considering local volume variations possibly induced by the tumor. Then, we present a new approach to combine the K images selected for each region into a piecewise most similar template. Our results obtained with 105 CT images of the head and neck show that our method reduces the over-segmentation seen with an average atlas while being robust to inter-expert manual segmentation variability.
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https://www.hal.inserm.fr/inserm-00550024
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Submitted on : Thursday, December 23, 2010 - 10:57:15 AM
Last modification on : Monday, March 4, 2019 - 2:07:55 PM
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  • HAL Id : inserm-00550024, version 1
  • PUBMED : 20879395

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Liliane Ramus, Olivier Commowick, Grégoire Malandain. Construction of patient specific atlases from locally most similar anatomical pieces.. Med Image Comput Comput Assist Interv (MICCAI), Sep 2010, China. pp.155-162. ⟨inserm-00550024⟩

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