Detail publikace

Object Localization in Medical Images

BENEŠ, R. ŘÍHA, K. HASMANDA, M.

Originální název

Object Localization in Medical Images

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

ultrasound image, localization, artery, RANSAC model, classification

Autoři

BENEŠ, R.; ŘÍHA, K.; HASMANDA, M.

Rok RIV

2011

Vydáno

18. 8. 2011

ISBN

978-1-4577-1409-2

Kniha

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

Strany od

559

Strany do

563

Strany počet

5

BibTex

@inproceedings{BUT72916,
  author="Radek {Beneš} and Kamil {Říha} and Martin {Hasmanda}",
  title="Object Localization in Medical Images",
  booktitle="34th International Conference on Telecommunications and Signal Processing (TSP 2011)",
  year="2011",
  pages="559--563",
  isbn="978-1-4577-1409-2"
}