2019
Image Correction in Emission Tomography Using Deep Convolution Neural Network
ICASSP 2019accepted
We propose a new approach using Deep Convolution Neural Network (DCNN) to correct for image degradations due to statistical noise and photon attenuation in Emission Tomography (ET). The proposed approach first reconstructs an image by the standard Filtered Backprojection (FBP) without correcting for…