Title :
Semi-automatic technique for segmentation of the prostate from 2D ultrasound images
Author :
Ladak, H.M. ; Downey, D.B. ; Steinman, David ; Fenster, Aaron
Author_Institution :
John P. Robarts Res. Inst., London, Ont.
Abstract :
The segmentation technique is based on a deformable model that changes shape to fit the boundary of an object. Key to the success of the approach is the careful initialization of the contour, which requires the user to select only four points on the prostate boundary. Anatomic data and cubic interpolation are used to obtain an accurate estimate of the boundary. Gradient direction information is used during deformation to keep the contour from being attracted to extraneous boundaries
Keywords :
biological organs; biomedical ultrasonics; cancer; edge detection; image segmentation; interpolation; medical image processing; 2D ultrasound images; anatomic data; contour initialization; cubic interpolation; deformable model; extraneous boundaries; four points; gradient direction information; prostate; prostate boundary; segmentation; semi-automatic technique; shape; Biomedical engineering; Councils; Deformable models; Image segmentation; Interpolation; Prostate cancer; Rail to rail inputs; Reliability engineering; Shape; Ultrasonic imaging;
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.1999.804310
