DocumentCode :
1281775
Title :
Multicriterion Compton backscatter imaging
Author :
Chen, Peng ; Wang, Y.
Author_Institution :
Dept. of Life Sci. & Biomed. Eng., Zhejiang Univ., Hangzhou, China
Volume :
143
Issue :
6
fYear :
1996
fDate :
11/1/1996 12:00:00 AM
Firstpage :
357
Lastpage :
361
Abstract :
A Compton backscatter tomographical imaging model with minimal constraints imposed on the measurement apparatus is presented as a potential contender for on-line portable imaging. The line-scan method based on scattered photon energy spectra can obtain a fairly high scan speed and spatial resolution. As such, radiation scattering imaging (or density reconstruction) is viewed as a nonlinear inverse problem. A solution algorithm is investigated for the density reconstruction problem with two criteria: maximum entropy and least-squares between the original measurement data projection due to reconstruction. Image reconstruction from simulations demonstrates the feasibility of the method
Keywords :
Compton effect; backscatter; computerised tomography; gamma-ray applications; image reconstruction; inverse problems; least squares approximations; maximum entropy methods; Compton backscatter tomographical imaging model; density reconstruction; image reconstruction; least-squares; line-scan method; maximum entropy; multicriterion Compton backscatter imaging; nonlinear inverse problem; online portable imaging; radiation scattering imaging; scattered photon energy spectra; spatial resolution;
fLanguage :
English
Journal_Title :
Science, Measurement and Technology, IEE Proceedings -
Publisher :
iet
ISSN :
1350-2344
Type :
jour
DOI :
10.1049/ip-smt:19960279
Filename :
553235
Link To Document :
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