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

1 code implementation • 15 Feb 2024 • Megan Lantz, Emil Y. Sidky, Ingrid S. Reiser, Xiaochuan Pan, Gregory Ongie

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 images.