Intensity-based Similarity Measures Evaluation for CT to Ultrasound 2D Registration

Abstract : Ultrasound is a non-invasive image modality which allows for real time acquisition. Nevertheless, the low quality of the acquired images makes this a difficult-to-interpret modality during surgical procedures. To overcome this, the registration of ultrasound images with pre-operative CT or MR images has been routinely used to fuse complementary information. This work presents the evaluation of eight similarity measures used in the registration of ultrasound and CT images of the left atrium and the pulmonary veins. Each intensity-based similarity measure was evaluated computing its accuracy, capture range, distinctiveness of the optimum, risk and non-convergence and number of minima. The results show, that the Woods criterion presents a globally better performance than the other similarity measures. This is especially true for the accuracy and distinctiveness of the optimum indicators. Preprocessing US images does not improve the performance of all similarity measures, except for Woods criterion that shows the optimal accuracy.
Type de document :
Article dans une revue
IRBM, Elsevier Masson, 2013, 34 (4-5), pp.278-282. 〈10.1016/j.irbm.2013.08.001〉
Liste complète des métadonnées

Littérature citée [12 références]  Voir  Masquer  Télécharger

http://www.hal.inserm.fr/inserm-00879579
Contributeur : Jean-Louis Dillenseger <>
Soumis le : lundi 4 novembre 2013 - 12:15:44
Dernière modification le : mercredi 16 mai 2018 - 11:23:41
Document(s) archivé(s) le : vendredi 7 avril 2017 - 20:21:50

Fichier

IRBM-Sandoval.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

Citation

Zulma Sandoval, Jean-Louis Dillenseger. Intensity-based Similarity Measures Evaluation for CT to Ultrasound 2D Registration. IRBM, Elsevier Masson, 2013, 34 (4-5), pp.278-282. 〈10.1016/j.irbm.2013.08.001〉. 〈inserm-00879579〉

Partager

Métriques

Consultations de la notice

481

Téléchargements de fichiers

400