Computer-assisted Applications in Medicine

Computer-​assisted Applications in Medicine (CAiM) Group, led by Orcun Göksel, is part of the newly-established Medtech Innovation and Science Centre as well as of the Centre for Image Analysis. CAiM is within the administrative Division of Visual Information and Interaction at the Department of Information Technology of Uppsala University in Sweden.

Basic and applied research in CAiM involve data analysis and information extraction, on topics lying at the intersection of multiple disciplines: computer science, engineering, and medicine. With the involvement of diverse and cross-​disciplinary skill-​set, the group aims to devise novel imaging and image analysis techniques, and develop them for clinical translation. The group’s efforts push the boundaries of diagnostic and surgical procedures as well as minimally-​invasive interventions.

Research in CAiM is conducted in close collaboration with clinical as well as industrial partners, where the research results have a strong translational component, both clinically and commercially. To that end, CAiM aims to develop innovative diagnostic and interventional applications, focusing on data analysis from imaging to abstracting patient-​specific models and representations, and from there to optimal intervention planning and intra-​operative execution.

Click here for a visual summary of research interests
The picture visualizes the following information (the pictures are primary decorative and works as examples): 
Image reconstruction: Inverse problems, numerical optimization, deep learning, real time computation.
Registration and tracking: Deformable inage registration, correspondences across images/population, real-time motion compensation.
Image-guided therapy: Real-time image-guidance and -navigation for precise surgical procedures.
Ultrasound imaging and biomechanics: Novel imaging contrasts, e.g. sound-speed with new sequences and signal+image processing.
Anatomical model generation: Digitizing induvidual pationts from images for automatic simulations and planning.
Simulation and VR: Biomechanical and image simulation for therapy prognosis and plannning, medical training in VR.

PUBLICATIONS WITHIN COMPUTER ASSISTED SURGERY

Last modified: 2021-12-06