MRI-based decision support tool for patients with chronic lower back pain

Project Description

Chronic low back pain (CLBP) is a highly prevalent disease with poorly understood aetiology. The affected population is heterogeneous and the condition multifactorial. This makes it challenging to determine the right treatment. In this project, we are developing a decision support tool to help patients and physicians choose a treatment that is likely to be successful. This decision support tool is based on automatic image analysis methods that assess degenerative spinal and muscular changes on MRI scans. We make use of state-of-the-art technologies such as deep learning.

This project is a collaboration of the Diagnostic Image Analysis Group, the department of Orthopedics and the Sint Maartenskliniek.

People

Nikolas Lessmann

Nikolas Lessmann

Postdoctoral researcher

Diagnostic Image Analysis Group

Miranda van Hooff

Miranda van Hooff

Clinical epidemiologist

Sint Maartenskliniek

Bram van Ginneken

Bram van Ginneken

Professor

Diagnostic Image Analysis Group

Marinus de Kleuver

Marinus de Kleuver

Professor

Orthopedic Surgery, Radboudumc