HUMAN BREAST SHAPE ANALYSIS USING PCA

Giovanni Gallo, Giuseppe Claudio Guarnera, Giuseppe Catanuto

2010

Abstract

This paper introduces a parametric space to describe the shape of human breasts. The parameter space has been obtained from a sample of about 40 patient’s MRI taken in prone position. The data have been cleaned from noise and disturbances and has been dimensionally reduced using Principal Component Analysis. If two references relative to extremal shapes (one of a reconstructed breast and one of a severely aged breast) are taken, all the other shapes span a continuum space that provides an objective way to classify and describe the variability observed in the common clinical practice.

Paper Citation

in Harvard Style

Gallo G., Claudio Guarnera G. and Catanuto G. (2010). HUMAN BREAST SHAPE ANALYSIS USING PCA . In Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010) ISBN 978-989-674-018-4, pages 163-167. DOI: 10.5220/0002691501630167

in Bibtex Style

@conference{biosignals10,
author={Giovanni Gallo and Giuseppe Claudio Guarnera and Giuseppe Catanuto},
title={HUMAN BREAST SHAPE ANALYSIS USING PCA},
booktitle={Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010)},
year={2010},
pages={163-167},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002691501630167},
isbn={978-989-674-018-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010)
TI - HUMAN BREAST SHAPE ANALYSIS USING PCA
SN - 978-989-674-018-4
AU - Gallo G.
AU - Claudio Guarnera G.
AU - Catanuto G.
PY - 2010
SP - 163
EP - 167
DO - 10.5220/0002691501630167