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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, Chi-hoi
Feng, D. David
Lun, Pak-kong Daniel
Siu, Wan-chi
Subjects: Brain
Brain models
Identification
Image reconstruction
Interpolation
Medical image processing
Parameter estimation
Reliability theory
Single photon emission computed tomography
Issue Date: 1996
Publisher: IEEE
Citation: 1996 IEEE TENCON Digital Signal Processing Applications proceedings : The University of Western Australia, Perth, Western Australia, 26-29 November, 1996, p. 462-467.
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.
Description: 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.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
Type: Conference Paper
URI: http://hdl.handle.net/10397/1881
ISBN: 0-7803-3679-8
Appears in Collections:EE Conference Papers & Presentations

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