We propose a methodology for Positron Emission Tomography(PET) reconstruction using Multi Sensor Fusion techniques. Improvement of spatial resolution of PET images is achieved with the proposed method. Fusion of the PET images with the correlated MRI(CT) images is performed using fuzzy set theory and belief functions. Using the a priori values obtained from the fusion process, we reconstruct the image using Bayes' law. Simulation studies performed using the Shepp-Logan head phantom show the feasibility of the process and improvement in the reconstructed PET image.
Raj S. Acharya,
"PET reconstruction using multisensor fusion techniques", Proc. SPIE 1445, Medical Imaging V: Image Processing, (1 June 1991); doi: 10.1117/12.45218; https://doi.org/10.1117/12.45218