Digital X-ray image processing using biologically inspired methods

Author

Lindblad, Thomas ; Lindsey, Clark S. ; Padgett, Mary Lou ; Vanyachine, Alexandre ; Zanevsky, Y.

Author_Institution

Dept. of Phys., R. Inst. of Technol., Stockholm, Sweden

Volume

2

fYear

1998

fDate

4-9 May 1998

Firstpage

803

Abstract

We show how the multi-wire proportional chamber (a particle detector developed for high-energy physics experiments), can be used for student education in digital X-ray imaging. It is further discussed how the system can be extended as a digital X-ray system for mammography with online processing. The techniques discussed include wavelet filtering as well as the biologically inspired pulse-coupled neural network approach

Keywords

X-ray imaging; diagnostic radiography; filtering theory; image classification; image enhancement; neural nets; wavelet transforms; X-ray image processing; digital image processing; direct photon counting; gas filled detector; image classification; image enhancement; mammography; multiwire proportional chamber; pulse-coupled neural network; wavelet filtering; wavelet transforms; Anodes; Filtering; Image processing; Ionization; Neural networks; Physics; Wires; X-ray detection; X-ray detectors; X-ray imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on

Conference_Location

Anchorage, AK

ISSN

1098-7576

Print_ISBN

0-7803-4859-1

Type

conf

DOI

10.1109/IJCNN.1998.685870

Filename

685870