Author/Authors :
Paschalis، نويسنده , , P and Giokaris، نويسنده , , N.D and Karabarbounis، نويسنده , , A and Loudos، نويسنده , , G.K. and Maintas، نويسنده , , D and Papanicolas، نويسنده , , C.N and Spanoudaki، نويسنده , , V and Tsoumpas، نويسنده , , Ch and Stiliaris، نويسنده , , E، نويسنده ,
Abstract :
A new image reconstruction technique based on the usage of an Artificial Neural Network (ANN) is presented. The most crucial factor in designing such a reconstruction system is the network architecture and the number of the input projections needed to reconstruct the image. Although the training phase requires a large amount of input samples and a considerable CPU time, the trained network is characterized by simplicity and quick response. The performance of this ANN is tested using several image patterns. It is intended to be used together with a phantom rotating table and the γ-camera of IASA for SPECT image reconstruction.
Keywords :
Artificial Neural Networks (ANN) , ?-camera , SPECT , PSPMT , Image reconstruction
