DocumentCode :
419841
Title :
A statistical shape model without using landmarks
Author :
Vos, F.M. ; de Bruin, P.W. ; Aubel, J.G.M. ; Streekstra, G.J. ; Maas, M. ; van Vliet, L.J. ; Vossepoel, A.M.
Author_Institution :
Delft Univ. of Technol., Netherlands
Volume :
3
fYear :
2004
fDate :
23-26 Aug. 2004
Firstpage :
714
Abstract :
This paper describes the construction of a statistical shape model based on the iterative closest point algorithm. The method does not require manual nor automatic identification of explicit landmarks on example shapes. Corresponding features are found by retrieving the nearest points via interpolation along the surface. The application to analyse carpal bone shape renders evidence that the lunate bone occurs in distinct types.
Keywords :
bone; feature extraction; interpolation; iterative methods; medical image processing; statistical analysis; carpal bone shape analysis; interpolation; iterative closest point algorithm; lunate bone; statistical shape model construction; Biomedical imaging; Bones; Character generation; Eigenvalues and eigenfunctions; Iterative closest point algorithm; Pattern recognition; Radiology; Shape; Wrist; X-ray imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-2128-2
Type :
conf
DOI :
10.1109/ICPR.2004.1334628
Filename :
1334628
Link To Document :
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