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