Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1881
Title: Tomographic dynamic imaging and system identification with partially sampled noisy radio-active signal
Authors: Lau, CH
Feng, DD
Lun, PKD 
Siu, WC 
Keywords: Brain
Brain models
Identification
Image reconstruction
Interpolation
Medical image processing
Parameter estimation
Reliability theory
Single photon emission computed tomography
Issue Date: 1996
Publisher: IEEE
Source: 1996 IEEE TENCON Digital Signal Processing Applications proceedings : The University of Western Australia, Perth, Western Australia, 26-29 November, 1996, p. 462-467 How to cite?
Abstract: In this paper, we propose a novel approach to perform the tomographic dynamic imaging of the cross-section of humans, which is time-varying in nature. The approach requires only the partially sampled noisy radio-active signal recorded by a conventional rotating camera system, without the need of knowing any additional information or prior knowledge. Based on the reconstructed dynamic images, we use a new system identification technique to quantify the dynamic processes in humans and to estimate the physiological parameters. The reliability of the method has been tested by computer simulations and the results show that using the proposed approach, dynamic imaging and system identification by a conventional rotating camera system with partially sampled noisy radio-active signals are comparable with those using a more expensive system where fully sampled data are needed.
URI: http://hdl.handle.net/10397/1881
ISBN: 0-7803-3679-8
DOI: 10.1109/TENCON.1996.608860
Rights: © 1996 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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