Ali Uneri successfully defended his Ph.D. dissertation, entitled “Imaging and Registration for Surgical Guidance: Systems and Algorithms for Intraoperative C-Arm 2D and 3D Imaging” in December 2016. His work realized methods for mobile C-arm 2D and 3D imaging integrated with surgical navigation and advanced image registration methods. Among the breakthroughs in Ali’s work is the Known-Component Registration (KC-Reg) framework for extracting 3D information from 2D fluoroscopic views to give 3D guidance capability beyond that of conventional surgical tracking.
Dr. Üneri conducted his research advised by Dr. Jeff Siewerdsen in the I-STAR Lab, with work encompassing: (1) an extensible software platform for integrating navigational tools with cone-beam CT, including fast registration algorithms using parallel computation on general purpose GPU; (2) a 3D–2D registration approach that leverages knowledge of interventional devices for surgical guidance and quality assurance; and (3) a hybrid 3D deformable registration approach using image intensity and feature characteristics to resolve gross deformation in cone-beam CT guidance of thoracic surgery.
His PhD thesis examiners included Prof. Jeff Siewerdsen (Biomedical Engineering), Prof. Russ Taylor (Computer Science), Dr. Jerry Prince (Electrical and Computer Engineering), Dr. Jean-Paul Wolinsky (Neurosurgery), and Dr. Peter Kazanzides (Computer Science).