DocumentCode :
2523085
Title :
ROBUST QUADRIC FITTING AND MENSURATION COMPARISON IN A MAPPING SPACE APPLIED TO 3D MORPHOLOGICAL CHARACTERIZATION OF ARTICULAR SURFACES
Author :
Allaire, S. ; Burdin, V. ; Jacq, J.J. ; Moineau, G. ; Stindel, E. ; Roux, Ch
Author_Institution :
ENST Bretagne, GET-ENST, Brest
fYear :
2007
fDate :
12-15 April 2007
Firstpage :
972
Lastpage :
975
Abstract :
This paper tackles the issue of the global morphological characterization and quantitative comparison of anatomical shapes, such as bone articular surfaces. This is performed by robustly fitting implicit quadratic surfaces which form an eigenvector decomposition. In addition to 3D examination of the results, mensuration analysis is made easier in an original mapping 2D space: the quadric shape map (QSM). A first application to the hip joint produces discriminating signatures between healthy and pathological clinical cases
Keywords :
biomedical measurement; bone; eigenvalues and eigenfunctions; feature extraction; medical image processing; orthopaedics; shape measurement; surface morphology; anatomical shapes; articular surfaces; bone articular surfaces; eigenvector decomposition; feature extraction; healthy clinical cases; hip joint; mapping space; mensuration comparison; pathological clinical cases; quadratic surfaces; quadric fitting; quadric shape map; three-dimensional morphological characterization; two-dimensional space mapping; Bones; Data mining; Feature extraction; Hip; Joints; Pathology; Robustness; Shape; Surface fitting; Surface morphology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on
Conference_Location :
Arlington, VA
Print_ISBN :
1-4244-0672-2
Electronic_ISBN :
1-4244-0672-2
Type :
conf
DOI :
10.1109/ISBI.2007.357016
Filename :
4193450
Link To Document :
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