Construction of Patient Specific Atlases from Locally Most Similar Anatomical Pieces

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 imag...

• Type: Journal
• Year: 2010
• Where: MICCAI
• Authors: Liliane Ramus, Olivier Commowick, Grégoire Malandain
• Keywords: Atlas, Images, Manual Segmentation Variability, Medical Imaging, MICCAI 2010