Thoracic CT-PET Registration Using a 3D Breathing Model

Antonio Moreno (1) , Sylvie Chambon (1) , Anand Santhanam (2) , Roberta Brocardo (1) , Patrick Kupelian (2) , Jannick Rolland (2) , Elsa Angelini (1) , Isabelle Bloch (1)

1 LTCI - Laboratoire Traitement et Communication de l'Information
2 ODALab

In the context of thoracic CT-PET volume registration, we present a novel method to incorporate a breathing model in a non-linear registration procedure, guaranteeing physiologically plausible deformations. The approach also accounts for the rigid motions of lung tumors during breathing. We performed a set of registration experiments on one healthy and four pathological data sets. Initial results demonstrate the interest of this method to significantly improve the accuracy of multi-modal volume registration for diagnosis and radiotherapy applications.

Domaines: Traitement des images [eess.IV]

Antonio Moreno, Sylvie Chambon, Anand Santhanam, Roberta Brocardo, Patrick Kupelian, et al.. Thoracic CT-PET Registration Using a 3D Breathing Model. MICCAI 2007, Aug 2007, Brisbane, Australia. pp.626-633. ⟨hal-00309016⟩