8 citations · 8 across the 5 of their papers we have counts for
5 papers
Improving depth-resolution, in-plane contrast, and reducing non-uniformity artifacts for wide-angle DBT
Emil Y. Sidky, Adrian A. Sanchez, John Paul Phillips +4
Purpose: This work aims to develop an image reconstruction algorithm for wide-angle digital breast tomosynthesis (DBT) that has improved depth resolution and in-plane contrast whil…
Non-unique water and contrast agent solutions in dual-energy CT
JP Phillips, Emil Y. Sidky, Fatma Terzioglu +3
The goal of this work is to study occurrences of non-unique solutions in dual-energy CT (DECT) for objects containing water and a contrast agent. Previous studies of the Jacobian o…
A directional total variation minimization algorithm for isotropic resolution in digital breast tomosynthesis
Emil Y. Sidky, Xiangyi Wu, Xiaoyu Duan +9
An optimization-based image reconstruction algorithm is developed for contrast enhanced digital breast tomosynthesis (DBT) using dual-energy scanning. The algorithm minimizes direc…
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…
A signal detection model for quantifying over-regularization in non-linear image reconstruction
Emil Y. Sidky, John Paul Phillips, Weimin Zhou +5
Purpose: Many useful image quality metrics for evaluating linear image reconstruction techniques do not apply to or are difficult to interpret for non-linear image reconstruction.…