Image Reconstruction Algorithms: Analytical Image Reconstruction Methods, Model Based Image Reconstruction Methods, and Deep Learning Based Intelligent CT Image Reconstruction Methods
Photon-counting x-ray and CT imaging
Physics Modeling
Advanced Applications
Image quality assessment and evaluation
Noise and spatial resolution dependence
CT number accuracy
Model observers (e.g. high spat. res tasks)
Dual energy CT
Evaluation of current clinical systems
Artificial Intelligence (AI) and Applications in Medical Imaging
Virtual Radiologist Development
Virtual Medical Physicist Development
Enabling technologies for the projects/applications above
(Software) Image reconstruction and artifact reduction methods
Iterative methods: PICCS, DOS-SPART, SMART-RECON
Low signal correction (LSC)
Digital breast tomosynthesis (DBT)
CT reconstruction using artificial intelligence (AI)
Deep learning angiography (DLA)
(Hardware) Imaging facilities, systems, detectors, and computing resources
MDCT scanners from GE—Discovery CT750 HD and Revolution CT
Siemens Angio Suite
Hologic Mammography system
Benchtop conventional X-Ray/CT system
Benchtop phase contrast X-Ray/CT system
Varian G-1592 X-Ray Tube
CsI + a-Si based energy integrating detector (model PaxScan 4030CB, from Varian Medical Systems)
CdTe-based photon counting detector (model XC-XFLITE X1, from XCounter AB)
Multiple anthropomorphic and calibration phantoms and other imaging materials