title: Model-Based Deformable Registration of Preoperative 3D to Intraoperative Low-Resolution 3D and 2D Sequences of MR Images
abstract: We have developed an automatic model-based deformable registration method applicable to MR soft-tissue imaging. The registration algorithm uses a dynamic finite element (FE) continuum mechanics model of the tissue deformation to register its 3D preoperative images with intraoperative 1) 3D low-resolution or 2) 2D MR images. The registration is achieved through a filtering process that combines information from the deformation model and observation errors based on correlation ratio, mutual information or sum of square differences between images. Experimental results with a breast phantom show that the proposed method converges in few iterations in the presence of very large deformations, similar to those typically observed in breast biopsy applications.
authors: Department of Electrical and Computer Engineering, McMaster University, 1280 Main Street West, Hamilton, ON, Canada, L8S-4K1. maramib@mcmaster.ca
authors: Bahram
authors: B
authors: Marami
authors: Shahin
authors: S
authors: Sirouspour
authors: David W
authors: DW
authors: Capson
mesh_terms: D000465:Algorithms; D001706:Biopsy; D001940:Breast / Q000473:pathology*; D001943:Breast Neoplasms / Q000175:diagnosis / Q000473:pathology*; D005260:Female; D020342:Finite Element Analysis; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D015233:Models, Statistical; D008962:Models, Theoretical; D019047:Phantoms, Imaging