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Authors: A. Conci 1 ; A. Plastino 1 ; A. S. Souza 2 ; C. S. Kubrusly 3 ; D. M. Saade 4 and F. L. Seixas 1

Affiliations: 1 UFF, Computer Institute, Brazil ; 2 LABS-Rede D'Or, Brazil ; 3 PUC/RJ, Brazil ; 4 UFF, Telecommunications Engineering Department, Brazil

Abstract: This work intends to predict the clinical dementia rating (CDR) based on human brain volumetric segmentation measures from magnetic resonance (MR) images. These brain measures were extracted using an automated image segmentation method based on morphometry study and considering brain anatomical atlas. The prediction was achieved by Bayesian classifier. The classifier training was performed on 371 individuals from Open Access Series of Imaging Studies (OASIS) dataset. MR images and clinical information (including the Clinical Dementia Rating score) of each case are available on OASIS dataset. Experimentation results were assessed using true-positive rate. The final purpose of this work is to design a computer-aided diagnostic system that could be able to detect precociously neurodegenerative disorders, allowing early therapeutic interventions.

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Paper citation in several formats:
Conci, A.; Plastino, A.; Souza, A.; Kubrusly, C.; Saade, D. and Seixas, F. (2009). Automated Segmentation and Clinical Information on Dementia Diagnosis. In Proceedings of the 1st International Workshop on Medical Image Analysis and Description for Diagnosis Systems (BIOSTEC 2009) - Workshop MIAD; ISBN 978-989-8111-77-7, SciTePress, pages 33-42. DOI: 10.5220/0001811200330042

@conference{workshop miad09,
author={A. Conci. and A. Plastino. and A. S. Souza. and C. S. Kubrusly. and D. M. Saade. and F. L. Seixas.},
title={Automated Segmentation and Clinical Information on Dementia Diagnosis},
booktitle={Proceedings of the 1st International Workshop on Medical Image Analysis and Description for Diagnosis Systems (BIOSTEC 2009) - Workshop MIAD},
year={2009},
pages={33-42},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001811200330042},
isbn={978-989-8111-77-7},
}

TY - CONF

JO - Proceedings of the 1st International Workshop on Medical Image Analysis and Description for Diagnosis Systems (BIOSTEC 2009) - Workshop MIAD
TI - Automated Segmentation and Clinical Information on Dementia Diagnosis
SN - 978-989-8111-77-7
AU - Conci, A.
AU - Plastino, A.
AU - Souza, A.
AU - Kubrusly, C.
AU - Saade, D.
AU - Seixas, F.
PY - 2009
SP - 33
EP - 42
DO - 10.5220/0001811200330042
PB - SciTePress

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