DocumentCode
2429404
Title
Robust retrieval of 3D structures from magnetic resonance images
Author
Garza-Jinich, Maria ; Meer, Peter ; Medina, Veronica
Author_Institution
IIMAS, Univ. Nacional Autonoma de Mexico, Mexico City, Mexico
Volume
3
fYear
1996
fDate
25-29 Aug 1996
Firstpage
391
Abstract
A modular approach for extracting 3D information from a stack of 2D slices is presented. The bottom-up procedure makes extensive use of robust high breakdown point estimators adapted to image analysis. All the decision parameters are either derived from the data or are context-independent. A priori information is easy to integrate, and the reliability of the results can be verified by seeking the consensus among independent executions of the procedure
Keywords
image segmentation; magnetic resonance; medical image processing; parameter estimation; 2D slices; 3D structures; bottom-up procedure; decision parameters; image analysis; magnetic resonance images; robust high breakdown point estimators; robust retrieval; Data mining; Detection algorithms; Electric breakdown; Histograms; Image analysis; Image retrieval; Image segmentation; Magnetic resonance; Magnetic resonance imaging; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location
Vienna
ISSN
1051-4651
Print_ISBN
0-8186-7282-X
Type
conf
DOI
10.1109/ICPR.1996.546976
Filename
546976
Link To Document