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An Algorithm for the Quantification of Lipids, Collagen and Muscle Cells in Coronary Arteries Based on Digital Image Processing

  • E. MacIas
  • , D. Brito
  • , G. Kemper
  • , J. Jo
  • , E. Rivera
  • Universidad Peruana de Ciencias Aplicadas
  • Texas A&M University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The present study presents a method to quantify lipids, collagen and muscle cells, to help diagnose atherosclerosis using digital image processing techniques. The relative concentrations of these three indicators are crucial in diagnosing atherosclerosis in patients. Digital image processing techniques such as object detection, color enhancement, and shape and texture analysis were used to quantify cells. The objective of the algorithm is to analyze high definition images of coronary arteries and to provide an objective outcome on the atherosclerotic tissue stage. The algorithm presented outstanding results and an innovative method to diagnose atherosclerosis when compared to existing procedures in the literature.

Original languageEnglish
Title of host publicationProceedings of the 2018 IEEE 25th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538654903
DOIs
StatePublished - 6 Nov 2018
Event25th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018 - Lima, Peru
Duration: 8 Aug 201810 Aug 2018

Publication series

NameProceedings of the 2018 IEEE 25th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018

Conference

Conference25th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018
Country/TerritoryPeru
CityLima
Period8/08/1810/08/18

Keywords

  • Digital Image Processing
  • collagen
  • coronary heart tissue
  • lipids
  • muscle cells
  • quantification

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