Title
Super-resolution registration using tissue-classified distance fields.
Abstract
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
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 Marai113620.43
David H. Laidlaw21781234.58
Joseph J. Crisco39510.65