Title :
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
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;
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
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.804312