Thèse de doctorat en Informatique
Sous la direction de Olivier Coulon.
Soutenue en 2007
à Aix-Marseille 2 , dans le cadre de Ecole Doctorale Mathématiques et Informatique de Marseille (Marseille) .
Pas de résumé disponible.
Integration of intraoperative ultrasound images in computer assisted orthopaedic surgery
This work addresses the problem of the integration of ultrasound imaging for intraoperative data acquisition in computer assisted orthopaedic surgery, in particular for hip surgery applications. The point is to improve the quality of the surgery using a minimally invasive, real time, and highly available imaging device. The method we propose uses a featurebased registration between ultrasound images and a pre-operative CT scan volume. We present an ultrasound image segmentation method based on a deformable model with the integration of a regional energy term to detect the local characteristics of ultrasound images. The feature-based registration is a variant of the ICP algorithm that uses a pre-calculated distance map with a Lavenberg-Marquardt optimization. We also propose a protocol for the pre- and intra-operative data acquisition. The real operating room constraint are taken into account for the design of this protocol while trying to provide the necessary ergonomy for the surgeon. A large validation has been conducted on phantoms and a cadaver and is presented in this thesis. From this validation we assess the performances of the data acquisition protocol, as well as the precision of the segmentation and the robustness and precision of the registration. Performances are measured quantitatively and qualitatively. Finally we propose some possible improvements to the segmentation and registration.