Filtering of the skin portion on lung ultrasound digital images to facilitate automatic diagnostics of pneumonia

Franklin Barrientos, Avid Roman-Gonzalez, Ronald Barrientos, Leonardo Solis, Alicia Alva, Malena Correa, Monica Pajuelo, Cynthia Anticona, Roberto Lavarello, Benjamin Castaneda, Richard Oberhelman, Robert H. Gilman, Mirko Zimic

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Pneumonia is one of the major causes of child mortality, but it is curable if one can achieves early diagnostics. Unfortunately, in developing countries there is a lack of infrastructure and medical experts in rural areas to provide the required diagnostics opportunely. Lung ultrasound echography has proved to be an important tool to detect lung consolidates as evidence of pneumonia. The use of ultrasound to detect pneumonia is limited by the image analysis for interpretation, which is carried by human experts. Pattern recognition and image analysis is a potential tool to facilitate recognition of pneumonia consolidates in absence of medical experts for automatic diagnostics. To perform an automatic analysis of lung ultrasound images for pneumonia detection, the noise introduced by the image portion of the skin, notably complicates the processing and interpretation. This paper presents a methodology to recognize and eliminate the portion of the skin in lung ultrasound images.

Original languageEnglish (US)
Title of host publication2016 IEEE 36th Central American and Panama Convention, CONCAPAN 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467395786
DOIs
StatePublished - Jun 7 2017
Event36th IEEE Central American and Panama Convention, CONCAPAN 2016 - San Jose, Costa Rica
Duration: Nov 9 2016Nov 11 2016

Publication series

Name2016 IEEE 36th Central American and Panama Convention, CONCAPAN 2016

Other

Other36th IEEE Central American and Panama Convention, CONCAPAN 2016
CountryCosta Rica
CitySan Jose
Period11/9/1611/11/16

Keywords

  • Ultrasound images
  • echography
  • image processing
  • remote diagnostics

ASJC Scopus subject areas

  • Modeling and Simulation
  • Health Informatics
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems and Management
  • Energy Engineering and Power Technology

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