Share Email Print

Proceedings Paper

Semiautomated detection and measurement of glomerular basement membrane from electron micrographs
Author(s): Sim Heng Ong; S. T. Giam; X. Jayasooriah; R. Sinniah
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The accurate measurement of kidney glomerular basement membrane (GBM) width from transmission electron micrographs provides vital information in the diagnosis of some kidney diseases. A novel and effective algorithm has been developed for the semi-automatic detection of the GBM by image analysis techniques. The method makes use of the gradual variation of the local features that are characteristic of the membrane. Starting from a seed point specified by the user, local features within a small window are computed to give a feature score. Feature scores for adjacent neighborhoods are also determined, and windows that satisfy a similarity criterion are linked to produce the centerline of the membrane. A region-growing process completes the segmentation procedure.

Paper Details

Date Published: 1 June 1991
PDF: 10 pages
Proc. SPIE 1445, Medical Imaging V: Image Processing, (1 June 1991); doi: 10.1117/12.45253
Show Author Affiliations
Sim Heng Ong, National Univ. of Singapore (Singapore)
S. T. Giam, National Univ. of Singapore (Singapore)
X. Jayasooriah, National Univ. of Singapore (Singapore)
R. Sinniah, National Univ. of Singapore (Singapore)

Published in SPIE Proceedings Vol. 1445:
Medical Imaging V: Image Processing
Murray H. Loew, Editor(s)

© SPIE. Terms of Use
Back to Top