Musculoskeletal diseases are responsible for more years lived with disability than any other kind of chronic condition. We develop image analysis algorithms that assist radiologists and orthopedic surgeons in recognizing musculoskeletal conditions early and in making well-informed treatment decisions based on quantitative imaging data. This research line was led by Nikolas Lessmann.
We develop AI-based MRI analysis software for treatment decision support in patients with chronic degenerative low back pain.
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Developing image analysis algorithms that automatically detect osteoporotic vertebral fractures.
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Automatic quantification of muscle and fat tissue in 3D CT and MR images
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Modeling of deformities in adolescent idiopathic scoliosis to improve segmentation
Read more →Several algorithms that this group has developed can be tried on the grand-challenge.org platform:
vertebra-segmentation was not found in the public algorithms on grand challenge
vertebral-fracture-assessment was not found in the public algorithms on grand challenge
vertebral-abnormality-scoring was not found in the public algorithms on grand challenge
rib-segmentation was not found in the public algorithms on grand challenge
femur-segmentation-in-ct was not found in the public algorithms on grand challenge
hip-bone-segmentation-in-ct was not found in the public algorithms on grand challenge
tibia-segmentation-in-ct was not found in the public algorithms on grand challenge
wrist-segmentation was not found in the public algorithms on grand challenge
body-composition was not found in the public algorithms on grand challenge
