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Title: Non-invasive quantification of physiological processes with dynamic PET using blind deconvolution
Authors: Lau, CH
Lun, PKD 
Feng, DD
Issue Date: 1998
Source: Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing : May 12-15, 1998, Seattle, WA (USA), v. 3, p. 1805-1808
Abstract: Dynamic Positron Emission Tomography (PET) has opened the possibility of quantifylng physiological processes within the human body. On performing dynamic PET studies, the tracer concentration in blood plasma has to be measured, and acts as the input function for tracer kinetic modelling. In this paper, we propose an approach to estimate physiological parameters for dynamic PET studies without the need of taking blood samples. The proposed approach comprises two major steps. First, a wavelet denoising technique is used to filter the noise appeared in the projections. The denoised projections are then used to reconstruct the dynamic images using filtered backprojection. Second, an eigen-vector based blind deconvolution technique is applied to the reconstructed dynamic images to estimate the physiological parameters. To demonstrate the performance of the proposed approach, we carried out a Monte Carlo simulation using the fluoro-deoxy-2-glucose model, as applied to tomographic studies of human brain. The results demonstrate that the proposed approach can estimate the physiological parameters with an accuracy comparable to that of invasive approach which requires the tracer concentration in plasma to be measured.
Keywords: Monte Carlo methods
Eigenvalues and eigenfunctions
Image reconstruction
Interference suppression
Medical image processing
Parameter estimation
Positron emission tomography
Wavelet transforms
Publisher: IEEE
ISBN: 0-7803-4428-6
DOI: 10.1109/ICASSP.1998.681811
Rights: © 1998 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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