Publications Details

AirNet-SNL: End-to-end training of iterative reconstruction and deep neural network regularization for sparse-data XPCI CT

Lee, Dennis J.; Mulcahy-Stanislawczyk, Johnathan M.; Jimenez, Edward S.; Goodner, Ryan N.; West, Roger D.; Epstein, Collin; Thompson, Kyle R.; Dagel, Amber L.

We present a deep learning image reconstruction method called AirNet-SNL for sparse view computed tomography. It combines iterative reconstruction and convolutional neural networks with end-to-end training. Our model reduces streak artifacts from filtered back-projection with limited data, and it trains on randomly generated shapes. This work shows promise to generalize learning image reconstruction.