NDLI: Improved non-invasive quantification of physiological processes with dynamic PET using blind system identification

Content Provider	IEEE Xplore Digital Library
Author	Lun, D.P.K. Chan, T.C.L. Feng, D.D.
Copyright Year	2001
Description	Author affiliation: Centre for Multimedia Signal Process., Hong Kong Polytech. Univ., Hung Hom, China (Lun, D.P.K.)
Abstract	The traditional quantitative study using tracer kinetic modeling requires repeated blood sampling to measure the tracer concentration in plasma. It is invasive, time-consuming and costly. We propose a new approach to estimate physiological parameters for dynamic Positron Emission Tomography (PET) without taking blood samples. With the new approach, the quantification problem is first converted to a 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 in a comparable manner to that of traditional invasive approaches.
Starting Page	255
Ending Page	258
File Size	440587
Page Count	4
File Format	PDF
ISBN	9628576623
DOI	10.1109/ISIMP.2001.925382
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-05-04
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Parameter estimation Stability Multimedia systems Plasma measurements Time measurement System identification Kinetic theory Positron emission tomography Blood Sugar
Content Type	Text
Resource Type	Article

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