Enhancing signal detectability in learning-based CT reconstruction with a model observer inspired loss function

Megan Lantz, Emil Y. Sidky, Ingrid S. Reiser +2

Deep neural networks used for reconstructing sparse-view CT data are typically trained by minimizing a pixel-wise mean-squared error or similar loss function over a set of training…