Andy Tseng, PhD
Assistant Professor, Radiology and Imaging Sciences
Dr. Tseng has developed compressed-sensing-based and deep-learning-based reconstruction algorithms for cone-beam CT. He is working on the development of dual-energy cone-beam CT for image-guided interventions and a simultaneous bilateral breast CT system. He has authored 15 peer-reviewed journal publications.
Degrees
- PhD: College of Optical Sciences, University of Arizona, 2015
Research Interests
CT physics, system design, system optimization, image reconstruction, image quality assessment