Parametric representation of human breast shapes
Giovanni Gallo, Giuseppe Claudio Guarnera, Francesco Milanese, Davide Modica, Giuseppe Catanuto, Francesco Pane · 2009
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.