Object localization in medical images

Author

Benes, Radek ; Hasmanda, Martin ; Riha, Kamil

Author_Institution

Fac. of Electr. Eng. & Commun., Brno Univ. of Technol., Brno, Czech Republic

fYear

2011

Firstpage

559

Lastpage

563

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

biomedical ultrasonics; blood vessels; image classification; medical image processing; object detection; RANSAC; artery localization; common carotid artery; longitudinal ultrasound B-mode scan; mathematical model; medical image; misclassified point suppression; object localization; pixel classification; Approximation methods; Arteries; Mathematical model; Polynomials; Robustness; Support vector machines; Ultrasonic imaging; RANSAC model; artery; classification; localization; ultrasound image;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Budapest

Print_ISBN

978-1-4577-1410-8

Type

conf

DOI

10.1109/TSP.2011.6043667

Filename

6043667