Referenced Items are not available for this document.
We report on a new and fast approach for the three-dimensional reconstruction of X-ray source distributions monitored by a Compton-camera consisting of two layers of pixel-detectors. We use multi-layer feedforward artificial neural networks trained by a standard backpropagation algorithm to determine the probability that a given Compton scattered photon originated from a certain point in the reconstruction space. Summing up this probability for all measured photons at each volume element (voxel) of the discretized reconstruction space gives a good estimate of the real X-ray source distribution. We reconstruct and discuss the point spread function obtained with different materials (germanium, silicon) used for the scatter detector and incident photons having an energy of 122 keV and 512 keV
Published in:
Nuclear Science Symposium Conference Record, 2001 IEEE
(Volume:4
)
Date of Conference: 2001
- Page(s):
- 2152 - 2155
- Meeting Date :
- 04 Nov 2001-10 Nov 2001
- ISSN :
- 1082-3654
- Print ISBN:
- 0-7803-7324-3
- INSPEC Accession Number:
- 7336535
- Conference Location :
- San Diego, CA
- Digital Object Identifier :
- 10.1109/NSSMIC.2001.1009249
- Product Type:
- Conference Publications
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