13 citations · 32 across the 7 of their papers we have counts for
4 papers · 1 filter
A Data-Driven Reconstruction Technique based on Newton's Method for Emission Tomography
Loizos Koutsantonis, Tiago Carneiro, Emmanuel Kieffer +2
In this work, we present the Deep Newton Reconstruction Network (DNR-Net), a hybrid data-driven reconstruction technique for emission tomography inspired by Newton's method, a well…
A Bayesian Optimization Approach for Attenuation Correction in SPECT Brain Imaging
Loizos Koutsantonis, Ayman Makki, Tiago Carneiro +2
Photon attenuation and scatter are the two main physical factors affecting the diagnostic quality of SPECT in its applications in brain imaging. In this work, we present a novel Ba…
Deep Convolutional Neural Network for Low Projection SPECT Imaging Reconstruction
Charalambos Chrysostomou, Loizos Koutsantonis, Christos Lemesios +1
In this paper, we present a novel method for tomographic image reconstruction in SPECT imaging with a low number of projections. Deep convolutional neural networks (CNN) are employ…
SPECT Angle Interpolation Based on Deep Learning Methodologies
Charalambos Chrysostomou, Loizos Koutsantonis, Christos Lemesios +1
A novel method for SPECT angle interpolation based on deep learning methodologies is presented. Projection data from software phantoms were used to train the proposed model. For ev…