Automatic MRI analysis for low back pain

Abstract
Low back pain (LBP) is responsible for more years lived with disability than any other health condition worldwide. MRI plays an essential role in the treatment decision making process for these patients. The goal of this project was to built and test AI-based image analysis algorithms that enable detailed quantitative routine analysis of lumbar MR scans.

Meeting details:
Currently, the DDH is held online via Teams. The Teams link will be available when you RSVP to this event.
14:30 - 15:15 (CET):
Jasper van der Graaf
Automatic MRI analysis for low back pain

About the speaker
Jasper van der Graaf completed a Bachelor’s degree in Human Movement Sciences at the University of Groningen in 2015. Following his graduation he finished the pre-master for Technical Medicine at the University of Twente. On September 2016, he enrolled in the Master of Technical Medicine, specializing in Medical Imaging and Interventions after which he received his Master’s Degree in December 2019. In May 2020 he started as a PhD candidate at both the Orthopaedic Research Lab and the Diagnostic Image Analysis Group under supervision of Nikolas Lessmann, Bram van Ginneken, Miranda van Hooff, Marinus de Kleuver, and Matthieu Rutten. His research is focused on AI-based MRI analysis for patients with chronic degenerative low back pain.