Information Processing in Medical Interventions

Research Profile

A large and growing family of medical interventions involves the processing information in different stages of the interventions such as pre-operative planning, intra-operative treatment and post-operative control. Typical examples include the derivation of patient-specific anatomical models from pre-operative medical images, the calibration of intra-operative imaging devices and surgical instruments, the registration of medical images to patient’s physical space, the display of position and trajectory on those images and the measurements of treatment results from post-operative medical images. 

Motivated by these technical challenges in different stages of medical interventions, the Information Processing in Medical Interventions (IPMI) Group focus on development of smart information processing methods and enabling technologies to solve challenging problems in clinical routine. One of our research focuses is on the reconstruction of 3D information (shape and intensity) from sparse data sets such as sparse point sets, a limited number of X-ray or sparse ultrasound images. Another focuses is on developing fully automatic X-ray, CT and MRI segmentation methods. We have also developed a comprehensive planning and navigation system for hip preservation surgeries such as periacetabular osteotomy and femoroacetabular impingment treatment, as well as investigated using Finite Element Simulation for Optimizing Acetabulum Reorientation after Periacetabular Osteotomy.