Title :
2D/3D Registration of Multiple Bones
Author :
Ma, B. ; Stewart, J. ; Pichora, D. ; Ellis, Ryan ; Abolmaesumi, P.
Author_Institution :
Kingston Gen. Hosp., Kingston
Abstract :
The problem of 2D/3D registration is, given a 3D image of an object and one or more 2D images of the object in known poses, to recover the 3D pose of the object. We propose a solution for registering multiple bones in 2D radiographic images and 3D CT images using normalized correlation coefficient template matching. We performed tests using synthetic radiographs and CT volumes of two knees and one wrist. We obtained good registration results (less than 2deg and 2 mm registration error) for all of the larger bones, but were unable to successfully register the small carpal bones of the wrist with high accuracy.
Keywords :
bone; computerised tomography; medical image processing; 2D radiographic images; 2D/3D registration; 3D CT images; carpal bones; knee bone; multiple bones; normalized correlation coefficient template matching; Anatomy; Bones; Computed tomography; Computer errors; Knee; Orthopedic surgery; Radiography; Shape; Testing; Wrist; Algorithms; Arthrography; Artificial Intelligence; Bone and Bones; Humans; Imaging, Three-Dimensional; Pattern Recognition, Automated; Radiographic Image Enhancement; Radiographic Image Interpretation, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity; Subtraction Technique; Tomography, X-Ray Computed;
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
Print_ISBN :
978-1-4244-0787-3
DOI :
10.1109/IEMBS.2007.4352426