I develop visualization techniques to provide insight into complex medical data to solve real-world medical problems in both research and clinical contexts based on a combined background in radiology and computer science. My current interests are oriented towards enabling interactive visual analysis of complex medical imaging data.
Advances in medical imaging techniques are bringing more and more different contrasts that provide additional information. For instance, a single patient can have a CT scan, PET scan, as well as an MRI scan with different weighted images. When there is more than one modality acquired, mental integration of the different contrasts between the different images becomes more challenging. We aspire to develop novel interactive visualization approaches for improved exploration, analysis, and communication of multimodal medical imaging data. Our current focus in this context is on multi-parametric MR acquisitions.
- We are researching novel interactive visualization approaches for the visualization of multiparametric MR data in the context of gynecologic cancer imaging in collaboration with the MMIV cancer imaging team and the Bergen Gynecologic Cancer Research Group. (PhD candidate Eric Mörth)
- We are developing novel interactive visualization approaches for the visualization of multimodal MR data in the context of Multiple Sclerosis (MS) in collaboration with the MMIV advanced neuroimaging project. (PhD candidate Sherin Sugathan)
- My PhD thesis, entitled ‘The Virtual Surgical Pelvis‘ dealt with developing model-based visualization techniques for anatomy education and surgical planning and was awarded with a Dirk Bartz Prize for Visual Computing in Medicine in 2019. More information on my thesis is available here. This project was funded by the STW and featured a collaboration between the Delft University of Technology and the Leiden University Medical Center (LUMC).