Publication detail

Towards an Optimal Interest Point Detector for Measurements in Ultrasound Images

ZUKAL, M. BENEŠ, R. ČÍKA, P. ŘÍHA, K.

Original Title

Towards an Optimal Interest Point Detector for Measurements in Ultrasound Images

English Title

Towards an Optimal Interest Point Detector for Measurements in Ultrasound Images

Type

journal article - other

Language

en

Original Abstract

This paper focuses on the comparison of different interest point detectors and their utilization for measurements in ultrasound (US) images. Certain medical examinations are based on speckle tracking which strongly relies on features that can be reliably tracked frame to frame. Only significant features (interest points) resistant to noise and brightness changes within US images are suitable for accurate long-lasting tracking. We compare three interest point detectors - Harris-Laplace, Difference of Gaussian (DoG) and Fast Hessian - and identify the most suitable one for use in US images on the basis of an objective criterion. Repeatability rate is assumed to be an objective quality measure for comparison. We have measured repeatability in images corrupted by different types of noise (speckle noise, Gaussian noise) and for changes in brightness. The Harris-Laplace detector outperformed its competitors and seems to be a sound option when choosing a suitable interest point detector for US images. However, it has to be noted that Fast Hessian and DoG detectors achieved better results in terms of processing speed.

English abstract

This paper focuses on the comparison of different interest point detectors and their utilization for measurements in ultrasound (US) images. Certain medical examinations are based on speckle tracking which strongly relies on features that can be reliably tracked frame to frame. Only significant features (interest points) resistant to noise and brightness changes within US images are suitable for accurate long-lasting tracking. We compare three interest point detectors - Harris-Laplace, Difference of Gaussian (DoG) and Fast Hessian - and identify the most suitable one for use in US images on the basis of an objective criterion. Repeatability rate is assumed to be an objective quality measure for comparison. We have measured repeatability in images corrupted by different types of noise (speckle noise, Gaussian noise) and for changes in brightness. The Harris-Laplace detector outperformed its competitors and seems to be a sound option when choosing a suitable interest point detector for US images. However, it has to be noted that Fast Hessian and DoG detectors achieved better results in terms of processing speed.

Keywords

B-mode ultrasound, Gaussian noise, interest point detector, repeatability rate, speckle noise, speckle tracking

RIV year

2013

Released

16.12.2013

Publisher

Versita Open, Versita Ltd. London, Great Britain

Location

London, Great Britain

ISBN

1335-8871

Periodical

Measurement Science Review

Year of study

13

Number

6

State

SK

Pages from

329

Pages to

338

Pages count

10

Documents

BibTex 


@article{BUT104060,
  author="Martin {Zukal} and Radek {Beneš} and Petr {Číka} and Kamil {Říha}",
  title="Towards an Optimal Interest Point Detector for Measurements in Ultrasound Images",
  annote="This paper focuses on the comparison of different interest point detectors and their utilization for measurements in ultrasound (US) images. Certain medical examinations are based on speckle tracking which strongly relies on features that can be reliably tracked frame to frame. Only significant features (interest points) resistant to noise and brightness changes within US images are suitable for accurate long-lasting tracking. We compare three interest point detectors - Harris-Laplace, Difference of Gaussian (DoG) and Fast Hessian - and identify the most suitable one for use in US images on the basis of an objective criterion.  Repeatability rate is assumed to be an objective quality measure for comparison. We have measured repeatability in images corrupted by different types of noise (speckle noise, Gaussian noise) and for changes in brightness. The Harris-Laplace detector outperformed its competitors and seems to be a sound option when choosing a suitable interest point detector for US images. However, it has to be noted that Fast Hessian and DoG detectors achieved better results in terms of processing speed.",
  address="Versita Open, Versita Ltd. London, Great Britain",
  chapter="104060",
  doi="10.2478/msr-2013-0049",
  howpublished="online",
  institution="Versita Open, Versita Ltd. London, Great Britain",
  number="6",
  volume="13",
  year="2013",
  month="december",
  pages="329--338",
  publisher="Versita Open, Versita Ltd. London, Great Britain",
  type="journal article - other"
}