Next-Generation Implicit Neural Representation for Ill-Posed and Dynamic Computed Tomography Reconstruction

Executive Summary

We will use implicit neural representations to develop a next-generation, training-free, computed tomography reconstruction approach to address extremely ill-posed reconstruction problems, such as limited-angle, few-view, and dynamic four-dimensional computed tomography of moving objects. This new capability will lead to significant improvements in non-destructive evaluations, detection of contraband and explosives, weapon inspections, and other mission-relevant applications.