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