Publication detail

Suitable Image Intensity Normalization for Arterial Visualization

OMRAN, Y. BENEŠ, R. ŘÍHA, K.

Original Title

Suitable Image Intensity Normalization for Arterial Visualization

English Title

Suitable Image Intensity Normalization for Arterial Visualization

Type

journal article - other

Language

en

Original Abstract

Ultrasonic imaging is a widely used non-invasivemedical imaging procedure since it is economical, comparativelysafe, portable and adaptable. However, one of its main weaknessesis the poor quality of images, which makes the enhancementof image quality an important issue in order to have a moreaccurate diagnose of the disease, or for the transformation of theimage through telemedicine channel and in many other imageprocessing tasks [1]. The purpose of this paper is to automaticallyenhance the image quality after the automatic detection of theartery wall. This step is essential before subsequent measurementsof arterial parameters [9]. This was performed automaticallyby applying linear normalization, where results showedthat normalization of ultra sound images is an important step inenhancing the image quality for later processing. In comparisonwith other methods, our method is automatic. The evaluationof image quality was done mathematically by comparing pixelintensities of images before and after enhancement, in additionto a visual evaluation.

English abstract

Ultrasonic imaging is a widely used non-invasivemedical imaging procedure since it is economical, comparativelysafe, portable and adaptable. However, one of its main weaknessesis the poor quality of images, which makes the enhancementof image quality an important issue in order to have a moreaccurate diagnose of the disease, or for the transformation of theimage through telemedicine channel and in many other imageprocessing tasks [1]. The purpose of this paper is to automaticallyenhance the image quality after the automatic detection of theartery wall. This step is essential before subsequent measurementsof arterial parameters [9]. This was performed automaticallyby applying linear normalization, where results showedthat normalization of ultra sound images is an important step inenhancing the image quality for later processing. In comparisonwith other methods, our method is automatic. The evaluationof image quality was done mathematically by comparing pixelintensities of images before and after enhancement, in additionto a visual evaluation.

Keywords

Image quality Ultrasound imaging Carotis artery

RIV year

2012

Released

05.12.2012

ISBN

1805-5443

Periodical

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

Year of study

1

Number

2-3

State

CZ

Pages from

1

Pages to

4

Pages count

4

Documents

BibTex


@article{BUT95660,
  author="Yara {Omran} and Radek {Beneš} and Kamil {Říha}",
  title="Suitable Image Intensity Normalization for Arterial Visualization",
  annote="Ultrasonic imaging is a widely used non-invasivemedical imaging procedure since it is economical, comparativelysafe, portable and adaptable. However, one of its main weaknessesis the poor quality of images, which makes the enhancementof image quality an important issue in order to have a moreaccurate diagnose of the disease, or for the transformation of theimage through telemedicine channel and in many other imageprocessing tasks [1]. The purpose of this paper is to automaticallyenhance the image quality after the automatic detection of theartery wall. This step is essential before subsequent measurementsof arterial parameters [9]. This was performed automaticallyby applying linear normalization, where results showedthat normalization of ultra sound images is an important step inenhancing the image quality for later processing. In comparisonwith other methods, our method is automatic. The evaluationof image quality was done mathematically by comparing pixelintensities of images before and after enhancement, in additionto a visual evaluation.",
  chapter="95660",
  number="2-3",
  volume="1",
  year="2012",
  month="december",
  pages="1--4",
  type="journal article - other"
}