Medica l Image Ana lysis & Ar t i f icia l Intel l igence Symposium 2022 Nr. 6: Ass.-Prof. Dr. Sepideh Hatamikia: Toward on-the-fly trajectory optimization for Carm CBCT under strong kinematic constraints Curriculum Vitae: Ass.-Prof. Dr. Sepideh Hatamikia completed her PhD and also a postdoctoral position in biomedical engineering field at Medical University of Vienna at the Department of Medical Physics and Biomedical Engineering at the Digital Image Processing Laboratory. Since march 2022, she joined Danube Private University (DPU) and currently she is the Head of Computational Imaging in the Medical Image Analysis and Artificial Intelligence (MIAAI) research group. In addition, Ass.-Prof. Dr. Hatamikia is a researcher at Austrian Center for Medical Innovation and Technology (ACMIT) since January 2018 and continues collaboration with this research center on different research projects. Abstract: Toward on-the-f ly trajectory optimization for C-arm CBCT under strong kinematic constraints Abstract: Kinematic constraints are common while acquiring C-arm cone beam computed tomography (CBCT). Such constraints cause collisions with the imager while performing a full circular rotation and therefore eliminate the chance for having 3D imaging in CBCT-based interventions. As collisions are mainly unpredictable in the operation theater, a framework which enables a real-time trajectory optimization is of great clinical importance. In this study, we introduce a new search strategy which has the potential to optimize trajectories on-the-f ly while avoiding potential kinematic constraints.