Computerized tomography techniques, which are used for visualizing the interior structure of an object of interest in a non-invasive manner, have played a central role in medical imaging, industrial non-destructive testing, geophysics, astronomy, and other fields. Yet, the quest for more sensitive, reliable, robust, safer, and cheaper imaging methods is ongoing and has intensified in recent years. Together with advances in science and technology, this has led to new imaging modalities, some of which are enhancements to existing ones, while others are entirely new. The development of all these techniques requires a sophisticated mathematical model of the measurement process and an efficient algorithm to reconstruct an image from the measured data, which often leads to interesting and challenging mathematical problems. In this talk, I will present mathematics arising from two emerging imaging methods: Multi-energy Computed Tomography and Compton Camera Imaging.

https://ncsu.zoom.us/j/98838884789?pwd=UlpyN3JQa2wzRUVXa2YxR05hb2JmUT09