Application of estimation techniques to problems in nuclear medicine
Application of estimation techniques to problems in nuclear medicine
An online parametric method of System Identification accounting for Poisson noise inherent in the measurement of gamma radiation, is proposed for the identification of the parameters attributed to the main metabolistic flow systems of the human body. The main metabolistic systems commonly examined using radioactive tracers are modelled, and it is shown how the Kalman-Snyder state estimation routines may be used to identify them. Simulations are used to show the efficiency of the algorithms. A proposed semiconductor radiation detector which eliminates the need for a lead collimator is also described and some contributions made to outstanding computational difficulties.
University of Southampton
Fitch, William Robert
51ea95d6-2619-45c1-b4fe-6d9833ad2415
1980
Fitch, William Robert
51ea95d6-2619-45c1-b4fe-6d9833ad2415
Nightingale, J M
365b4daf-f389-44a6-a559-a11f4dbf185d
Fitch, William Robert
(1980)
Application of estimation techniques to problems in nuclear medicine.
University of Southampton, Doctoral Thesis, 199pp.
Record type:
Thesis
(Doctoral)
Abstract
An online parametric method of System Identification accounting for Poisson noise inherent in the measurement of gamma radiation, is proposed for the identification of the parameters attributed to the main metabolistic flow systems of the human body. The main metabolistic systems commonly examined using radioactive tracers are modelled, and it is shown how the Kalman-Snyder state estimation routines may be used to identify them. Simulations are used to show the efficiency of the algorithms. A proposed semiconductor radiation detector which eliminates the need for a lead collimator is also described and some contributions made to outstanding computational difficulties.
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81087617
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Published date: 1980
Identifiers
Local EPrints ID: 459042
URI: http://eprints.soton.ac.uk/id/eprint/459042
PURE UUID: 69204dd5-4642-426b-9180-ccb44e2a3716
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Date deposited: 04 Jul 2022 17:03
Last modified: 16 Mar 2024 18:27
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Contributors
Author:
William Robert Fitch
Thesis advisor:
J M Nightingale
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