Publication detail

Automatic Estimation Of The Arterial Parameters In Ultrasound Video Sequence

OMRAN, Y. ŘÍHA, K. DUTTA, M.

Original Title

Automatic Estimation Of The Arterial Parameters In Ultrasound Video Sequence

English Title

Automatic Estimation Of The Arterial Parameters In Ultrasound Video Sequence

Type

conference paper

Language

en

Original Abstract

In this article we propose a new system for the accurate estimation of the center and the radius of a circular object in a medical video sequence. The system takes as an input a region of interest (ROI) where the object exists, this area is given by an object detector. The contribution of the presented method is the high accuracy of estimating the position of both the center and radius of the artery. The results are comparable with other approaches and are less expensive computationally. The detection of a circular object may seem a classic task in image processing. However, because of the special nature of Ultrasound images, it becomes a harder task which needs a different procesing. The system proposed in this article is fully automatic, and its results showed a rate of 89% accuracy for the correct detection of the center and the radius of artery. The system uses circular hough transform as a final step to accurately detect the sought object. The system is tested on B-mode Ultrasound (US) images. The boundary of the common carotid artery (CCA) is extracted, and its radius is calculated. This is an initial step towards analysis of cardiac diseases, or for tracking the movement of CCA

English abstract

In this article we propose a new system for the accurate estimation of the center and the radius of a circular object in a medical video sequence. The system takes as an input a region of interest (ROI) where the object exists, this area is given by an object detector. The contribution of the presented method is the high accuracy of estimating the position of both the center and radius of the artery. The results are comparable with other approaches and are less expensive computationally. The detection of a circular object may seem a classic task in image processing. However, because of the special nature of Ultrasound images, it becomes a harder task which needs a different procesing. The system proposed in this article is fully automatic, and its results showed a rate of 89% accuracy for the correct detection of the center and the radius of artery. The system uses circular hough transform as a final step to accurately detect the sought object. The system is tested on B-mode Ultrasound (US) images. The boundary of the common carotid artery (CCA) is extracted, and its radius is calculated. This is an initial step towards analysis of cardiac diseases, or for tracking the movement of CCA

Keywords

Object detection, Ultrasound, common carotid artery, Haar-Like features, Hough, Circle detection

RIV year

2013

Released

01.07.2013

ISBN

978-1-4799-0403-7

Book

36th International Conference on Telecommunications and Signal Processing (TSP)

Pages from

10

Pages to

14

Pages count

5

Documents

BibTex


@inproceedings{BUT100646,
  author="Yara {Omran} and Kamil {Říha} and Malay Kishore {Dutta}",
  title="Automatic Estimation Of The Arterial Parameters In Ultrasound Video Sequence",
  annote="In this article we propose a new system for the accurate estimation of the center and the radius of a circular object in a medical video sequence. The system takes as an input a region of interest (ROI) where the object exists, this area is given by an object detector. The contribution of the presented method is the high accuracy of estimating the position of both the center and radius of the artery. The results are comparable with other approaches and are less expensive computationally. The detection of a circular object may seem a classic task in image processing. However, because of the special nature of Ultrasound images, it becomes a harder task which needs a different procesing. The system proposed in this article is fully automatic, and its results showed a rate of 89% accuracy for the correct detection of the center and the radius of artery. The system uses circular hough transform as a final step to accurately detect the sought object. The system is tested on B-mode Ultrasound (US) images. The
boundary of the common carotid artery (CCA) is extracted, and its radius is calculated. This is an initial step towards analysis of cardiac diseases, or for tracking the movement of CCA",
  booktitle="36th International Conference on Telecommunications and Signal Processing (TSP)",
  chapter="100646",
  howpublished="electronic, physical medium",
  year="2013",
  month="july",
  pages="10--14",
  type="conference paper"
}