Paper
24 March 2014 Infective endocarditis detection through SPECT/CT images digital processing
Albino Moreno, Raquel Valdés, Luis Jiménez, Enrique Vallejo, Salvador Hernández, Gabriel Soto
Author Affiliations +
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.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Albino Moreno, Raquel Valdés, Luis Jiménez, Enrique Vallejo, Salvador Hernández, and Gabriel Soto "Infective endocarditis detection through SPECT/CT images digital processing", Proc. SPIE 9035, Medical Imaging 2014: Computer-Aided Diagnosis, 90353M (24 March 2014); https://doi.org/10.1117/12.2043765
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KEYWORDS
Image segmentation

Single photon emission computed tomography

Image filtering

Image processing algorithms and systems

Heart

Computed tomography

Digital signal processing

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