Humlab Talk with Ingela Nyström, Professor in Visualization at the Department of Information Technology, Uppsala University.
Abstract:
Three-dimensional (3D) imaging techniques such as computed tomography (CT) and magnetic resonance imaging (MRI) are routinely used in medicine. This has led to an increasing flow of high-resolution, high-dimensional image data that needs to be qualitatively and quantitatively analysed. This requires accurate segmentation of the image into relevant structures such as bones, soft tissue, liver, or blood vessels. In this talk, I will present some of the powerful methods for interactive image segmentation and visualization we have developed. We combine volume rendering with 3D texture painting to enable quick identification of the objects of interest. The user can work on the surfaces in 3D as well as on 2D slices. The methods are implemented on the GPU and can achieve real-time update rates for large volumes. Our system is used in clinical research by the clinicians.
Biography:
Since 2011, Ingela Nyström is a Professor in Visualization at the Department of Information Technology, Uppsala University. Her focus of research is medical image analysis and she is the Uppsala University node coordinator of InfraVis. One of the drives during all years has been to build collaborations and bridges between many disciplinary domains and today she is engaged in the Centre for Image Analysis (CBA), the Centre for Women's Mental Health (WOMHER), the Centre for Digital Humanities (CDHU) as well as Medtech Science & Innovation (MTSI). She was Vice-Chair of the Swedish Council for Research Infrastructure during 2014-2019 and Chair of the Board of the Swedish National Infrastructure for Computing during 2020-2022. Currently, she is board member of the strategic innovation programme Medtech4Health.