Factor Analysis and the Retrieval of Medical Images Depicting Structures with Similar Shapes

Alexei Manso Correa Machado

2012

Abstract

This work presents a new perspective to medical image retrieval based on factor analysis. The shape of anatomical structures are represented as high-dimensional sets of vector variables obtained from non-rigidly deforming a template image so as to align its anatomy with the subject anatomy of a group. By eliminating the redundancy embedded in the data, a reduced set of factors is determined, corresponding to new variables with possible anatomic significance. The method’s ability to retrieve relevant images is exemplified in a study of the corpus callosum, a structure with very subtle shape differences. The factor analysis approach is compared to principal component analysis in a set of 960 experiments, yielding significantly higher precision rates.

Paper Citation

in Harvard Style

Machado A. (2012). Factor Analysis and the Retrieval of Medical Images Depicting Structures with Similar Shapes . In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012) ISBN 978-989-8565-29-7, pages 175-180. DOI: 10.5220/0004116901750180

in Bibtex Style

@conference{kdir12,
author={Alexei Manso Correa Machado},
title={Factor Analysis and the Retrieval of Medical Images Depicting Structures with Similar Shapes},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012)},
year={2012},
pages={175-180},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004116901750180},
isbn={978-989-8565-29-7},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012)
TI - Factor Analysis and the Retrieval of Medical Images Depicting Structures with Similar Shapes
SN - 978-989-8565-29-7
AU - Machado A.
PY - 2012
SP - 175
EP - 180
DO - 10.5220/0004116901750180