Accurate scatter correction is one of the major problems facing quantitative 3D PET and many methods have been developed for the purpose of reducing the resultant degradation of image contrast and loss of quantitative accuracy. A new scatter correction method called Statistical Reconstruction-Based Scatter Correction (SRBSC) is proposed in this paper and evaluated using Monte Carlo simulations,...

We report on the use of the EGS4/BEAM Monte Carlo technique to predict the output factors for clinically relevant, irregularly shaped inserts as they intercept a linear accelerator's electron beams. The output factor for a particular combination--energy, cone, insert, and source-to-surface distance (SSD)--is defined in accordance with AAPM TG-25 as the product of cone correction factor and inse...

A sequential Monte Carlo algorithm is suggested for joint maneuvering target tracking and classification, based on kinematic measurements. A mixture Kalman filter is designed for two-class identification of air targets: commercial and military aircraft. Speed and acceleration constraints are imposed on the target behaviour models in order to improve the classification process. The class is mode...