Improved non-invasive quantification of physiological processes with dynamic pet using blind system identification

Pak Kong Lun, Tommy C L Chan, David D. Feng

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

Abstract

Traditional quantitative study using tracer kinetic modeling requires repeated blood sampling to measure the tracer concentration in plasma. it is invasive, time-consuming and requires costs. In this paper, we propose a new approach to estimate physiological parameters for dynamic Positron Emission Tomography (PET) without levying blood samples. With the new approach, the quantification problem is first converted to discrete blind system identification problem. A multi-channel blind identification technique is applied to estimate the required system parameters. A Monte Carlo simulation is carried out for the proposed approach on estimating the regional cerebral metabolic rate of glucose (rCMRGlc) with the fluoro-deoxy-2-glucose (FDG) model. The results show that the proposed approach can estimate the required physiological parameters comparable to that of traditional invasive approaches.
Original languageEnglish
Title of host publicationProceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001
Pages255-258
Number of pages4
Publication statusPublished - 1 Dec 2001
Event2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001 - Hong Kong, Hong Kong
Duration: 2 May 20014 May 2001

Conference

Conference2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001
CountryHong Kong
CityHong Kong
Period2/05/014/05/01

ASJC Scopus subject areas

  • Computer Science(all)

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