Accuracy of a semi-automatic technique for segmentation of the carotid arteries from 3D ultrasound images

Author

Gill, J.D. ; Ladak, H. ; Steinman, D.A. ; Fenster, A.

Author_Institution

John P. Robarts Res. Inst., London, Ont., Canada

Volume

2

fYear

1999

fDate

36434

Abstract

A semi-automatic 3D segmentation technique has recently been developed and is being used to extract carotid artery lumen from 3D ultrasound images. The accuracy of the segmentation technique has been assessed by comparing 3D surfaces derived by the semi-automatic technique, to surfaces constructed from manual segmentation. Preliminary results show that for a sample free-hand 3D ultrasound image, typical manual and automatic surfaces are separated from each other with a mean error of 0.4 mm

Keywords

biomedical ultrasonics; blood vessels; image segmentation; medical image processing; multidimensional signal processing; 3D segmentation technique; 3D surfaces; 3D ultrasound images; accuracy; atherosclerosis; carotid arteries; carotid artery lumen; manual segmentation; mean error; segmentation; semi-automatic technique; Atherosclerosis; Bifurcation; Biomedical imaging; Carotid arteries; Councils; Diseases; Image segmentation; Manuals; Ultrasonic imaging; Ultrasonography;

fLanguage

English

Publisher

ieee

Conference_Titel

[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint

Conference_Location

Atlanta, GA

ISSN

1094-687X

Print_ISBN

0-7803-5674-8

Type

conf

DOI

10.1109/IEMBS.1999.804312

Filename

804312