DocumentCode :
782664
Title :
Energy-spectral Compton scatter imaging. II. Experiments
Author :
Arendtsz, Nina V. ; Hussein, Esam M A
Author_Institution :
Dept. of Mech. Eng., New Brunswick Univ., Fredericton, NB, Canada
Volume :
42
Issue :
6
fYear :
1995
fDate :
12/1/1995 12:00:00 AM
Firstpage :
2166
Lastpage :
2172
Abstract :
In Part I (see ibid., vol. 42, p. 2155 (1995)) of this two-part paper, the theoretical and mathematical aspects of the inverse problem of a Compton scatter imaging system that utilizes energy-spectral measurements were addressed. Image reconstruction algorithms, based on a single-scatter model, were devised and tested using Monte Carlo simulated point-detector responses. This part of the paper deals with the experimental problems associated with the physical size of the detector and the intrinsic distortions in its response function. The detector response to a point scatterer is measured and incorporated into a response function. This function is employed in a least squares detector unfolding method that also provides an estimate of the contribution, to the detector response, of multiple scattering in the imaged target. Reconstructions of the electron-density images for several test objects from experimentally measured detector responses are presented to demonstrate the viability of the detector unfolding and image reconstruction methods
Keywords :
Compton effect; Monte Carlo methods; electromagnetic wave scattering; electron density; gamma-ray applications; gamma-ray detection; gamma-ray spectrometers; image reconstruction; inverse problems; least squares approximations; Monte Carlo simulated point-detector responses; electron-density images; energy-spectral Compton scatter imaging; image reconstruction algorithms; intrinsic distortions; inverse problem; least squares detector unfolding method; multiple scattering; physical detector size; point scatterer; response function; single-scatter model; Detectors; Distortion measurement; Energy measurement; Image reconstruction; Inverse problems; Least squares approximation; Monte Carlo methods; Object detection; Scattering; Testing;
fLanguage :
English
Journal_Title :
Nuclear Science, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9499
Type :
jour
DOI :
10.1109/23.489412
Filename :
489412
Link To Document :
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