Tomographic dynamic imaging and system identification with partially sampled noisy radioactive signal

Chi Hoi Lau, Dagan Feng, Pak Kong Lun, W. C. Siu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

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 radioactive 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 radioactive signals are comparable with those using a more expensive system where fully sampled data are needed.
Original languageEnglish
Title of host publicationIEEE Region 10 Annual International Conference, Proceedings/TENCON
PublisherIEEE
Pages462-467
Number of pages6
Publication statusPublished - 1 Dec 1996
EventProceedings of the 1996 IEEE Region 10 TENCON - Digital Signal Processing Applications Conference. Part 2 (of 2) - Perth, Australia
Duration: 26 Nov 199629 Nov 1996

Conference

ConferenceProceedings of the 1996 IEEE Region 10 TENCON - Digital Signal Processing Applications Conference. Part 2 (of 2)
Country/TerritoryAustralia
CityPerth
Period26/11/9629/11/96

ASJC Scopus subject areas

  • Engineering(all)

Cite this