Publication detail

Automatic System for Diseased Artery Transverse Section Detection

MAŠEK, J. RAJNOHA, M. BURGET, R. DUTTA, M.

Original Title

Automatic System for Diseased Artery Transverse Section Detection

Czech Title

Automatický systém pro detekci nemocných artérií

English Title

Automatic System for Diseased Artery Transverse Section Detection

Type

conference paper

Language

en

Original Abstract

This article deals with an artery transversal section detection from ultrasound medical images. Exact localization of artery is needed for measuring artery properties, which can be used for diagnosing vascular diseases such as atherosclerosis, hypoplasia. Image processing methods are non-invasive, fast and cheap. In this work, the Viola-Jones object detector was used and further adopted for artery detection problem. In comparison with the other approaches created method improves speed and accuracy of detection mainly for unhealthy arteries. Created methods achieves 96% accuracy for healthy arteries and 95% accuracy of detection for unhealthy arteries. Average detection time per image was 2.5 milliseconds.

Czech abstract

Práce se zabývá detekcí arterií z ultrazvukových snímků v příčném řezu. Přesná lokalizace arterie a jejích rozměrů je krokem k diagnóze nemocí jakými jsou ateroskleróza, hypoplasie. Vytvořená metoda dosahuje 96% přesnosti pro zdravé a 95% přesnosti pro nemocné pacienty. Detekční čas je 2.5 ms na snímek.

English abstract

This article deals with an artery transversal section detection from ultrasound medical images. Exact localization of artery is needed for measuring artery properties, which can be used for diagnosing vascular diseases such as atherosclerosis, hypoplasia. Image processing methods are non-invasive, fast and cheap. In this work, the Viola-Jones object detector was used and further adopted for artery detection problem. In comparison with the other approaches created method improves speed and accuracy of detection mainly for unhealthy arteries. Created methods achieves 96% accuracy for healthy arteries and 95% accuracy of detection for unhealthy arteries. Average detection time per image was 2.5 milliseconds.

Keywords

Carotid artery; image processing; object detection; ultrasound; unhealthy artery; Viola-Jones detector;

Released

22.02.2018

Location

Dillí, Indie

ISBN

978-1-5386-3045-7

Book

2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)

Pages from

322

Pages to

326

Pages count

5

BibTex


@inproceedings{BUT146170,
  author="Jan {Mašek} and Martin {Rajnoha} and Radim {Burget} and Malay Kishore {Dutta}",
  title="Automatic System for Diseased Artery Transverse Section Detection",
  annote="This article deals with an artery transversal section detection from ultrasound medical images. Exact localization of artery is needed for measuring artery properties, which can be used for diagnosing vascular diseases such as atherosclerosis, hypoplasia. Image processing methods are non-invasive, fast and cheap. In this work, the Viola-Jones object detector was used and further adopted for artery detection problem. In comparison
with the other approaches created method improves speed and accuracy of detection mainly for unhealthy arteries. Created methods achieves 96% accuracy for healthy arteries and 95% accuracy of detection for unhealthy arteries. Average detection time per image was 2.5 milliseconds.",
  booktitle="2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)",
  chapter="146170",
  doi="10.1109/SPIN.2018.8474262",
  howpublished="electronic, physical medium",
  year="2018",
  month="february",
  pages="322--326",
  type="conference paper"
}