Paper Info
Title
Template selection and rejection for robust nonrigid 3D registration in the presence of large deformations
Abstract
The purpose of the proposed template propagation method is to support the comparative analysis of image pairs even when large deformations (e.g. from movement) are present. Starting from a position where valid starting estimates are known, small sub-volumes (templates) are registered rigidly. Propagating registration results to neighboring templates, the algorithm proceeds layer by layer until corresponding points for the whole volume are available. Template classification is important for defining the templates to be registered, for propagating registration results and for selecting successfully registered templates which finally represent the motion vector field. This contribution discusses a template selection and classification strategy based on the analysis of the similarity measure in the vicinity of the optimum. For testing the template propagation and classification methods, deformation fields of four volume pairs exhibiting considerable deformations have been estimated and the results have been compared to corresponding points picked by an expert. In all four cases, the proposed classification scheme was successful. Based on homologous points resulting from template propagation, an elastic transformation was performed.
Year
DOI
Venue
2001
10.1117/12.431128
Proceedings of SPIE
Keywords
Field
DocType
elastic registration,deformation field estimation,template propagation,optimization,classification of sub-volumes
Computer vision,Similarity measure,Pattern recognition,Classification scheme,Artificial intelligence,Motion vector field,Deformation (mechanics),Template,Geography
Conference
Volume
ISSN
Citations 
4322
0277-786X
2
PageRank 
References 
Authors
0.84
0
7
Name
Order
Citations
PageRank
peter roesch182.15
torsten mohs220.84
Thomas Netsch39316.47
Marcel Quist417515.13
Graeme P. Penney598790.21
David J. Hawkes64262470.26
Juergen Weese782.62