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Proceedings Paper

Infective endocarditis detection through SPECT/CT images digital processing
Author(s): Albino Moreno; Raquel Valdés; Luis Jiménez; Enrique Vallejo; Salvador Hernández; Gabriel Soto
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Paper Abstract

Infective endocarditis (IE) is a difficult-to-diagnose pathology, since its manifestation in patients is highly variable. In this work, it was proposed a semiautomatic algorithm based on SPECT images digital processing for the detection of IE using a CT images volume as a spatial reference. The heart/lung rate was calculated using the SPECT images information. There were no statistically significant differences between the heart/lung rates values of a group of patients diagnosed with IE (2.62±0.47) and a group of healthy or control subjects (2.84±0.68). However, it is necessary to increase the study sample of both the individuals diagnosed with IE and the control group subjects, as well as to improve the images quality.

Paper Details

Date Published: 24 March 2014
PDF: 6 pages
Proc. SPIE 9035, Medical Imaging 2014: Computer-Aided Diagnosis, 90353M (24 March 2014); doi: 10.1117/12.2043765
Show Author Affiliations
Albino Moreno, Univ. Autónoma Metropolitana (Mexico)
Raquel Valdés, Univ. Autónoma Metropolitana (Mexico)
Luis Jiménez, Univ. Autónoma Metropolitana (Mexico)
Enrique Vallejo, ABC Medical Ctr. Santa Fe (Mexico)
Salvador Hernández, Instituto Nacional de Cardiología - Ignacio Chávez (Mexico)
Gabriel Soto, Instituto Nacional de Cardiología - Ignacio Chávez (Mexico)

Published in SPIE Proceedings Vol. 9035:
Medical Imaging 2014: Computer-Aided Diagnosis
Stephen Aylward; Lubomir M. Hadjiiski, Editor(s)

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