DocumentCode :
2585536
Title :
Parametric representation of human breast shapes
Author :
Gallo, Giovanni ; Guarnera, Giuseppe Claudio ; Milanese, Francesco ; Modica, Davide ; Catanuto, Giuseppe ; Pane, Francesco
Author_Institution :
Dipt. di Mat. ed Inf., Univ. di Catania, Catania, Italy
fYear :
2009
fDate :
29-30 May 2009
Firstpage :
26
Lastpage :
30
Abstract :
This paper proposes a novel technique to describe the shapes of women breasts in a low dimensional parameter space. The parameterization is obtained applying Principal Component Analysis (PCA) to a data set of about 40 Nuclear Magnetic Resonances of female breasts taken in a prone position. The resulting principal modes may be used as clinical indicator and have a direct medical interpretation.
Keywords :
biomedical MRI; image reconstruction; image representation; medical image processing; direct medical interpretation; human breast shapes; nuclear magnetic resonances; parametric representation; principal component analysis; prone position; Biomedical imaging; Breast; Costs; Humans; Image reconstruction; Nuclear magnetic resonance; Principal component analysis; Shape measurement; Surgery; Testing; 3D reconstruction; NMR; Pca; breast; shape descriptors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Medical Measurements and Applications, 2009. MeMeA 2009. IEEE International Workshop on
Conference_Location :
Cetraro
Print_ISBN :
978-1-4244-3598-2
Electronic_ISBN :
978-1-4244-3599-9
Type :
conf
DOI :
10.1109/MEMEA.2009.5167948
Filename :
5167948
Link To Document :
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