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MICCAI 2007, Brisbane : Australie (2007)
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
(2007-08)

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.
1:  Laboratoire Traitement et Communication de l'Information [Paris] (LTCI)
Télécom ParisTech – CNRS : UMR5141
2:  ODALab
University of Central Florida
Computer Science/Image Processing
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