Evaluation of a novel application of image analysis to spongiform change detection

Author

Sutherland, K. ; Rutovitz, D. ; Bell, J.E. ; Ironside, J.W.

Author_Institution

CJD Surveillance Unit, Western Gen. Hospital, Edinburgh, UK

Volume

1

fYear

1994

fDate

13-16 Nov 1994

Firstpage

378

Abstract

An objective method of assessment of the pathological feature known as spongiform change has been devised and implemented using image processing techniques. A successful validation of the proposed algorithm has been performed by comparison with two neuropathologists. In a test set of 50 microscopic images a strong positive rank correlation (R_s=0.91) was established between the performance of the new algorithm and one of the neuropathologists. The inter-person and intraperson variations observed for the neuropathologists were not found to be substantially lower than the variations between the computer and the neuropathologists

Keywords

biological techniques; biology computing; brain; cellular biophysics; image recognition; medical image processing; Creutzfeldt Jakob disease; algorithm; brain; grey matter; image analysis; image processing; interperson variations; intraperson variations; microscopic images; neuropathologists; pathological feature; spongiform change detection; strong positive rank correlation; Biomedical imaging; Diseases; Hospitals; Humans; Image analysis; Image processing; Microscopy; Pathology; Surveillance; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference

Conference_Location

Austin, TX

Print_ISBN

0-8186-6952-7

Type

conf

DOI

10.1109/ICIP.1994.413339

Filename

413339