Paper Info
Title
A multi-view active contour method for bone cement reconstruction from C-arm X-ray images
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 non-circular trajectory, and (3) incorporate prior 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. 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 4 images.
Year
DOI
Venue
2011
10.1007/978-3-642-21504-9_4
IPCAI
Keywords
Field
DocType
c-arm x-ray image,sparse number,ct information,bone cement reconstruction,high contrast bone cement,sparse x-ray multi-view,algorithm initiate,prior ct,multi-view active contour method,bone cement,novel algorithm,x-ray image,automated reconstruction,segmentation,reconstruction,active contour
Active contour model,Computer vision,Visual hull,Bone cement,Geodesic active contour,Segmentation,Artificial intelligence,Engineering,Trajectory,Computation
Conference
Citations 
PageRank 
References 
0
0.34
10
Authors
4
Name
Order
Citations
PageRank
Blake C. Lucas1525.50
Yoshito Otake214428.20
M Armand316927.17
Russell H. Taylor41970438.00