title: Towards real-time 3D US to CT bone image registration using phase and curvature feature based GMM matching.
abstract: In order to use pre-operatively acquired computed tomography (CT) scans to guide surgical tool movements in orthopaedic surgery, the CT scan must first be registered to the patient's anatomy. Three-dimensional (3D) ultrasound (US) could potentially be used for this purpose if the registration process could be made sufficiently automatic, fast and accurate, but existing methods have difficulties meeting one or more of these criteria. We propose a near-real-time US-to-CT registration method that matches point clouds extracted from local phase images with points selected in part on the basis of local curvature. The point clouds are represented as Gaussian Mixture Models (GMM) and registration is achieved by minimizing the statistical dissimilarity between the GMMs using an L2 distance metric. We present quantitative and qualitative results on both phantom and clinical pelvis data and show a mean registration time of 2.11 s with a mean accuracy of 0.49 mm.
authors: Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, B.C., Canada. abrou@ece.ubc.ca
authors: Anna
authors: A
authors: Brounstein
authors: Ilker
authors: I
authors: Hacihaliloglu
authors: Pierre
authors: P
authors: Guy
authors: Antony
authors: A
authors: Hodgson
authors: Rafeef
authors: R
authors: Abugharbieh
mesh_terms: D001842:Bone and Bones / Q000473:pathology*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D015233:Models, Statistical; D016011:Normal Distribution; D009985:Orthopedics / Q000379:methods*; D010388:Pelvis / Q000000981:diagnostic imaging / Q000473:pathology; D019047:Phantoms, Imaging; D015203:Reproducibility of Results; D012984:Software; D025321:Surgery, Computer-Assisted / Q000379:methods*; D014057:Tomography, X-Ray Computed / Q000379:methods*; D014465:Ultrasonics