Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1882
Title: Non-invasive quantification of physiological processes with dynamic PET using blind deconvolution
Authors: Lau, Chi-hoi
Lun, Pak-kong Daniel
Feng, D. David
Subjects: Monte Carlo methods
Deconvolution
Eigenvalues and eigenfunctions
Image reconstruction
Interference suppression
Medical image processing
Parameter estimation
Physiology
Positron emission tomography
Wavelet transforms
Issue Date: 1998
Publisher: IEEE
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.
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Type: Conference Paper
URI: http://hdl.handle.net/10397/1882
DOI: 10.1109/ICASSP.1998.681811
ISBN: 0-7803-4428-6
Appears in Collections:EE Conference Papers & Presentations

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