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.

Volume

2

fYear

1999

fDate

36434

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;

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.1999.804310

Filename

804310