Abstract | ||
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We present a method for registering the position and orientation of bones across multiple computed-tomography (CT) volumes of the same subject. The method is subvoxel accurate, can operate on multiple bones within a set of volumes, and registers bones that have features commensurate in size to the voxel dimension. First, a geometric object model is extracted from a reference volume image. We use t... |
Year | DOI | Venue |
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2006 | 10.1109/TMI.2005.862151 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Bones,Joints,Wrist,Kinematics,Computed tomography,Registers,Solid modeling,Humans,Biomedical imaging,Computer science | Voxel,Computer vision,Signed distance function,Medical imaging,Object model,Artificial intelligence,Contextual image classification,Image resolution,Image registration,Scalar field,Mathematics | Journal |
Volume | Issue | ISSN |
25 | 2 | 0278-0062 |
Citations | PageRank | References |
16 | 1.30 | 5 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
G Elisabeta Marai | 1 | 136 | 20.43 |
David H. Laidlaw | 2 | 1781 | 234.58 |
Joseph J. Crisco | 3 | 95 | 10.65 |