Title :
An Active Contour Method for Bone Cement Reconstruction From C-Arm X-Ray Images
Author :
Lucas, Blake C. ; Otake, Yoshito ; Armand, Mehran ; Taylor, Russell H.
Author_Institution :
Dept. of Comput. Sci., Johns Hopkins Univ., Baltimore, MD, USA
fDate :
4/1/2012 12:00:00 AM
Abstract :
A novel algorithm is presented to segment and reconstruct injected bone cement from a sparse set of X-ray images acquired at arbitrary poses. The sparse X-ray multi-view active contour (SxMAC-pronounced “smack”) can 1) reconstruct objects for which the background partially occludes the object in X-ray images, 2) use X-ray images acquired on a noncircular trajectory, and 3) incorporate prior computed tomography (CT) information. The algorithm´s inputs are preprocessed X-ray images, their associated pose information, and prior CT, if available. The algorithm initiates automated reconstruction using visual hull computation from a sparse number of X-ray images. It then improves the accuracy of the reconstruction by optimizing a geodesic active contour. Experiments with mathematical phantoms demonstrate improvements over a conventional silhouette based approach, and a cadaver experiment demonstrates SxMAC´s ability to reconstruct high contrast bone cement that has been injected into a femur and achieve sub-millimeter accuracy with four images.
Keywords :
bone; computerised tomography; diagnostic radiography; image reconstruction; image segmentation; medical image processing; phantoms; prosthetics; C-arm X-ray images; associated pose information; bone cement reconstruction; cadaver experiment; computed tomography; geodesic active contour; image reconstruction; image segmentation; mathematical phantoms; noncircular trajectory; silhouette-based approach; sparse X-ray multiview active contour; submillimeter accuracy; visual hull computation; Bones; Computed tomography; Image reconstruction; Image segmentation; Materials; Three dimensional displays; X-ray imaging; Active contour; bone cement; deformable models; intra-operative imaging; reconstruction; segmentation; Algorithms; Bone Cements; Femur; Humans; Models, Biological; Phantoms, Imaging; Radiographic Image Enhancement;
Journal_Title :
Medical Imaging, IEEE Transactions on
DOI :
10.1109/TMI.2011.2171498