Publication detail

Object Localization in Medical Images

BENEŠ, R. ŘÍHA, K. HASMANDA, M.

Original Title

Object Localization in Medical Images

English Title

Object Localization in Medical Images

Type

conference paper

Language

en

Original Abstract

This paper is focused on localization of objects in medical images. A novel improvement of an existing method for localization of artery in longitudinal ultrasound B-mode scan is proposed in the paper. The localization is based on a classification of pixels according to image information in their neighborhood. To suppress misclassified points, a novel RANSAC based method is proposed. This method is able to find the most appropriate mathematical model of depicted common carotid artery (CCA) on the basis of previous classification. The proposed RANSAC based method with its mathematical footing is described in detail and the results of method within the algorithm for localization of artery are enclosed. By using the proposed RANSAC based method the localization method becomes very robust.

English abstract

This paper is focused on localization of objects in medical images. A novel improvement of an existing method for localization of artery in longitudinal ultrasound B-mode scan is proposed in the paper. The localization is based on a classification of pixels according to image information in their neighborhood. To suppress misclassified points, a novel RANSAC based method is proposed. This method is able to find the most appropriate mathematical model of depicted common carotid artery (CCA) on the basis of previous classification. The proposed RANSAC based method with its mathematical footing is described in detail and the results of method within the algorithm for localization of artery are enclosed. By using the proposed RANSAC based method the localization method becomes very robust.

Keywords

ultrasound image, localization, artery, RANSAC model, classification

RIV year

2011

Released

18.08.2011

ISBN

978-1-4577-1409-2

Book

34th International Conference on Telecommunications and Signal Processing (TSP 2011)

Pages from

559

Pages to

563

Pages count

5

Documents

BibTex


@inproceedings{BUT72916,
  author="Radek {Beneš} and Kamil {Říha} and Martin {Hasmanda}",
  title="Object Localization in Medical Images",
  annote="This paper is focused on localization of objects in medical images. A novel improvement of an existing method for localization of artery in longitudinal ultrasound B-mode scan is proposed in the paper. The localization is based on a classification of pixels according to image information in their neighborhood.  To suppress misclassified points, a novel RANSAC based method is proposed. This method is able to find the most appropriate mathematical model of depicted common carotid artery (CCA) on the basis of previous classification. The proposed RANSAC based method with its mathematical footing is described in detail and the results of method within the algorithm for localization of artery are enclosed. By using the proposed RANSAC based method the localization method becomes very robust.",
  booktitle="34th International Conference on Telecommunications and Signal Processing (TSP 2011)",
  chapter="72916",
  howpublished="electronic, physical medium",
  year="2011",
  month="august",
  pages="559--563",
  type="conference paper"
}