Publication detail

A method for automatically constructing the initial contour of the common carotid artery

OMRAN, Y. RIHA, K.

Original Title

A method for automatically constructing the initial contour of the common carotid artery

English Title

A method for automatically constructing the initial contour of the common carotid artery

Type

journal article - other

Language

en

Original Abstract

In this article we propose a novel method to automatically set the initial contour that is used by the Active contours algorithm. The proposed method exploits the accumulative intensity profiles to locate the points on the arterial wall. The intensity profiles of sections that intersect the artery show distinguishable characterstics that make it possible to recognize them from the profiles of sections that do not intersect the artery walls. The proposed method is applied on ultrasound images of the transverse section of the common carotid artery, but it can be extended to be used on the images of the longitudinal section. The intensity profiles are classified using Support vector achine algorithm, and the results of different kernels are compared. The extracted features used for the classification are basically statistical features of the intensity profiles. The echogenicity of the arterial lumen, and gives the profiles that intersect the artery a special shape that helps recognizing these profiles from other general profiles. The outlining of the arterial walls may seem a classic task in image processing. However, most of the methods used to outline the artery start from a manual, or semi-automatic, initial contour. The proposed method is highly appreciated in automating the entire process of automatic artery detection and segmentation.

English abstract

In this article we propose a novel method to automatically set the initial contour that is used by the Active contours algorithm. The proposed method exploits the accumulative intensity profiles to locate the points on the arterial wall. The intensity profiles of sections that intersect the artery show distinguishable characterstics that make it possible to recognize them from the profiles of sections that do not intersect the artery walls. The proposed method is applied on ultrasound images of the transverse section of the common carotid artery, but it can be extended to be used on the images of the longitudinal section. The intensity profiles are classified using Support vector achine algorithm, and the results of different kernels are compared. The extracted features used for the classification are basically statistical features of the intensity profiles. The echogenicity of the arterial lumen, and gives the profiles that intersect the artery a special shape that helps recognizing these profiles from other general profiles. The outlining of the arterial walls may seem a classic task in image processing. However, most of the methods used to outline the artery start from a manual, or semi-automatic, initial contour. The proposed method is highly appreciated in automating the entire process of automatic artery detection and segmentation.

Keywords

VM, Ultrasound imaging, Segmentation, Carotid artery

RIV year

2013

Released

30.12.2013

ISBN

1805-5443

Periodical

International Journal of Advances in Telecommunications, Electrotechnics, Signals and Systems

Year of study

2

Number

3

State

CZ

Pages from

1

Pages to

4

Pages count

4

Documents

BibTex


@article{BUT105249,
  author="Yara {Omran} and Kamil {Říha}",
  title="A method for automatically constructing the initial contour of the common carotid artery",
  annote="In this article we propose a novel method to automatically set the initial contour that is used by the Active contours algorithm. The proposed method exploits the accumulative intensity profiles to locate the points on the arterial wall. The intensity profiles of sections that intersect the artery show distinguishable characterstics that make it possible to recognize them from the profiles of sections that do not intersect the artery walls. The proposed method is applied on ultrasound images of the transverse section of the common carotid artery, but it can be extended to be used on the images of the longitudinal section. The intensity profiles are classified using Support vector achine
algorithm, and the results of different kernels are compared. The extracted features used for the classification are basically statistical features of the intensity profiles. The echogenicity of
the arterial lumen, and gives the profiles that intersect the artery a special shape that helps recognizing these profiles from other general profiles. The outlining of the arterial walls may seem a classic task in image processing. However, most of the methods used to outline the artery start from a manual, or semi-automatic, initial contour. The proposed method is highly appreciated in automating the entire process of automatic artery detection and
segmentation.",
  chapter="105249",
  doi="10.11601/ijates.v2i3.66",
  number="3",
  volume="2",
  year="2013",
  month="december",
  pages="1--4",
  type="journal article - other"
}