Detail publikace

Artery Wall Detection Based on Image Profile Classification

OMRAN, Y. ŘÍHA, K. DUTTA, M.

Originální název

Artery Wall Detection Based on Image Profile Classification

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

In this article we propose a new method for the accurate locating of points on the arterial wall in ultrasound images. The system takes as an input an ultrasound image that contains the common carotid artery, this image is the outcome of an object detector. The proposed method suggests a way to detect points on the arterial wall in the transverse section of the common carotid artery, because knowing the locus of these points is very essential in constructing the initial contour for a more detailed segmentation using Active contour algorithms. The detection of a circular object may seem a classic task in image processing, but ultrasound images have special characteristics that makes it a harder task which needs a different type of processing. The system uses a Support Vector Machine classifier to classify image profiles in different positions in the image, in order to recognize the points on the arterial wall. This is an initial step towards the analysis of cardiac diseases, or for tracking the movement of CCA.

Klíčová slova

SVM;Ultrasound imaging;Segmentation;Carotid artery

Autoři

OMRAN, Y.; ŘÍHA, K.; DUTTA, M.

Rok RIV

2013

Vydáno

11. 9. 2013

Místo

Senec

ISBN

978-80-227-4026-5

Kniha

Proceedings of 15th International Conference on Research in Telecommunication Technologies

Strany od

64

Strany do

67

Strany počet

4

BibTex

@inproceedings{BUT101534,
  author="Yara {Omran} and Kamil {Říha} and Malay Kishore {Dutta}",
  title="Artery Wall Detection Based on Image Profile Classification",
  booktitle="Proceedings of 15th International Conference on Research in Telecommunication Technologies",
  year="2013",
  pages="64--67",
  address="Senec",
  isbn="978-80-227-4026-5"
}