Center for medical Image Analysis & Navigation (CIAN)
The Center for medical Image Analysis & Navigation (CIAN), former Medical Image Analysis Center, at the Faculty of Medicine was established in late 2007 thanks to the generous endowment from Dr. h.c. Hansjörg Wyss. The founded professor position was then converted into a structural position as part of the Department of Biomedical Engineering (DBE).
Lead by Prof. Dr. Philippe Cattin, the CIAN Group focuses on image-guided therapy, medical image analysis, tracking systems for robotic laser surgery, as well as virtual and augmented reality. To meet the requirements of such a diverse field of research, CIAN gathers four Postdoctoral associates, thirteen PhD-students as well as several Master Students and Interns, forming an interdisciplinary team of engineers, mathematicians, computer scientists and physicists. The group is also successfully attracting third-party funding from the SNF, CTI, various industrial partners and foundations, and is as well spinning out its own companies to create a versatile, innovative organization on the interdisciplinary boundaries between fundamental research and clinical applications in Basel.
In order to achieve outstanding results in all its domains of interest, the scientific activities of CIAN have been divided in different sub-groups focusing on:
- Image Registration and Motion Modelling
- Image Segmentation
- Planning and Navigation
Dr. Christoph Jud
Head of Image Registration & Motion Modelling
Our main research topics is the modelling of breathing-induced organ motion. These models are widely used in cancelling the remaining motion in tumor therapy to reduce the collateral damage to neighboring tissues.
Dr. Robin Sandkühler
Head of Image Segmentation
We perform research on novel segmentation and image registration techniques with a strong focus on developing approaches that are mathematically well-founded and have a concrete clinical application.
Dr. Sara Freund / Dr. Antal Horváth
Co-Heads of Planning & Navigation
Our research is dedicated to the development of innovative technologies in order to safely plan, track and control the surgical interventions of a Minimally Invasive Robot-Assisted Computer-guided LaserosteostomE (MIRACLE).
To learn more about our team and current research activities, select one of the categories listed below.