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A Robust and Efficient Block Matching Framework for Non Linear Registration of Thoracic CT Images

Vincent Garcia 1 Olivier Commowick 2, * Grégoire Malandain 1, *
* Corresponding author
1 ASCLEPIOS - Analysis and Simulation of Biomedical Images
CRISAM - Inria Sophia Antipolis - Méditerranée
2 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 : The registration of thoracic images is a challenging problem with essential clinical applications such as radiotherapy and diagnosis. In the context of the EMPIRE10 challenge, we brie y introduce a general robust and e cient algorithm to register automatically any type of scalar images (CT, MRI, ...) on virtually any location (brain, thorax, ...). Although fully automatic and generic, the proposed algorithm reached the 17th place in the EMPIRE challenge over 34 algorithms evaluated. Moreover, we have since optimized further the parameter set used for the challenge and we demonstrate the ability of the algorithm to recover much better large displacements of the lungs boundaries.
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Submitted on : Tuesday, July 16, 2013 - 4:07:02 PM
Last modification on : Friday, December 10, 2021 - 12:00:02 PM
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  • HAL Id : inria-00616148, version 1


Vincent Garcia, Olivier Commowick, Grégoire Malandain. A Robust and Efficient Block Matching Framework for Non Linear Registration of Thoracic CT Images. Grand Challenges in Medical Image Analysis (MICCAI workshop), 2010, Beijing, China, China. pp.1-10. ⟨inria-00616148⟩



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