Stochastic distributed filtering approach to gamma-ray imaging†
作者:
S. G. TZAFESTAS,
J. M. NIGHTINGALE,
期刊:
International Journal of Systems Science
(Taylor Available online 1976)
卷期:
Volume 7,
issue 11
页码: 1249-1274
ISSN:0020-7721
年代: 1976
DOI:10.1080/00207727608942002
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
The problem of gamma-ray imaging encountered in nuclear medicine diagnosis is considered and solved by using distributed-parameter filtering theory. The nature of the photon emission and counting processes call for a generalization and application of some recent results concerning the filtering of stochastic processes that modulate the rate (intensity) of doubly stochastic Poissonian counting processes. From a theoretic point of view the results of the paper actually fill in formally an existing gap between lumped and di3tributed-parameter filtering theory. Three illustrative examples are worked out to highlight many of the ideas developed.
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