Digital X-ray image processing using biologically inspired methods

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. Th...

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Bibliographic Details
Published in1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227) Vol. 2; pp. 803 - 808 vol.2
Main Authors Lindblad, T., Lindsey, C.S., Padgett, M.L., Vanyachine, A., Zanevsky, Y.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1998
Subjects
Anodes
Filtering
Image processing
Ionization
Neural networks
Physics
Wires
X-ray detection
X-ray detectors
X-ray imaging
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Summary: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.
ISBN:0780348591
9780780348592
ISSN:1098-7576
1558-3902
DOI:10.1109/IJCNN.1998.685870