title: 2D/3D registration of multiple bones.
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 2 degrees 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.
authors.affiliation: Human Mobility Research Centre, Kingston General Hospital, Kingston, Ontario, Canada. mab@cs.queensu.ca
authors.forename: Burton
authors.initials: B
authors.lastname: Ma
authors.forename: James
authors.initials: J
authors.lastname: Stewart
authors.forename: David
authors.initials: D
authors.lastname: Pichora
authors.forename: Randy
authors.initials: R
authors.lastname: Ellis
authors.forename: Purang
authors.initials: P
authors.lastname: Abolmaesumi
mesh_terms: D000465:Algorithms; D001175:Arthrography / Q000379:methods*; D001185:Artificial Intelligence; D001842:Bone and Bones / Q000000981:diagnostic imaging*; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D011856:Radiographic Image Enhancement / Q000379:methods; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique; D014057:Tomography, X-Ray Computed / Q000379:methods*