Title :
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
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;
Conference_Titel :
Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4859-1
DOI :
10.1109/IJCNN.1998.685870
