Thoracic CT-PET Registration Using a 3D Breathing Model

نویسندگان

  • Antonio Moreno-Ingelmo
  • Sylvie Chambon
  • Anand P. Santhanam
  • Roberta Brocardo
  • Patrick Kupelian
  • Jannick P. Rolland
  • Elsa D. Angelini
  • Isabelle Bloch
چکیده

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 multimodal volume registration for diagnosis and radiotherapy applications.

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عنوان ژورنال:
  • Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention

دوره 10 Pt 1  شماره 

صفحات  -

تاریخ انتشار 2007