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Image Reconstruction by Inhomogeneous Diffusion for Positron Emission Tomography

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2 Author(s)
Partha P Mondal ; Department of Physics, Indian Institute of Science, Bangalore 560012, India ; K. Rajan

In positron emission tomography (PET), image reconstruction is a demanding problem. Since, PET image reconstruction is an ill-posed inverse problem, new methodologies need to be developed. Although previous studies show that incorporation of spatial and median priors improves the image quality, the image artifacts such as over-smoothing and streaking are evident in the reconstructed image. In this work, we use a simple, yet powerful technique to tackle the PET image reconstruction problem. Proposed technique is based on the integration of Bayesian approach with that of finite impulse response (FIR) filter. A FIR filter is designed whose coefficients are determined based on the surface diffusion model. The resulting reconstructed image is iteratively filtered and fed back to obtain the new estimate. Experiments are performed on a simulated PET system. The results show that the proposed approach is better than recently proposed MRP algorithm in terms of image quality and normalized mean square error

Published in:

Industrial Electronics and Applications, 2006 1ST IEEE Conference on

Date of Conference:

24-26 May 2006