Detail publikačního výsledku

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

OMRAN, Y.; RIHA, K.

Originální název

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

Anglický název

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

Druh

Článek recenzovaný mimo WoS a Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

VM, Ultrasound imaging, Segmentation, Carotid artery

Klíčová slova v angličtině

VM, Ultrasound imaging, Segmentation, Carotid artery

Autoři

OMRAN, Y.; RIHA, K.

Rok RIV

2014

Vydáno

30.12.2013

ISSN

1805-5443

Periodikum

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

Svazek

2

Číslo

3

Stát

Česká republika

Strany od

1

Strany do

4

Strany počet

4

BibTex

@article{BUT105249,
  author="Yara {Omran} and Kamil {Říha}",
  title="A method for automatically constructing the initial contour of the common carotid artery",
  journal="International Journal of Advances in Telecommunications, Electrotechnics, Signals and Systems",
  year="2013",
  volume="2",
  number="3",
  pages="1--4",
  doi="10.11601/ijates.v2i3.66",
  issn="1805-5443"
}