Neural network restoration of gamma camera bremsstrahlung images

Planar gamma camera Images of spherical phantoms filled with phosphorous-32 (³²Ρ) are filtered with a new restoration technique which uses an order-statistic non-linear filter for noise suppression and a neural network for image restoration. The proposed method reduces Image noise effectively while preserving Image content and counts and restores the data consistently with source-to-detector distance or source size resulting in an effective attenuation coefficient for ³²P. The new filter is compared to the Wiener filter for restoration in terms of error Images and attenuation measurements.