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.
Musculoskeletal image analysis
Projects

MRI-based decision support tool for patients with chronic lower back pain
We develop AI-based MRI analysis software for treatment decision support in patients with chronic degenerative low back pain.
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Detecting and characterizing vertebral fractures in CT scans
Developing image analysis algorithms that automatically detect osteoporotic vertebral fractures.
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Body composition assessment in 3D CT and MR images
Automatic quantification of muscle and fat tissue in 3D CT and MR images
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Scoliosis simulation for improving a segmentation and labelling algorithm
Modeling of deformities in adolescent idiopathic scoliosis to improve segmentation
Read more →Algorithms
Several algorithms that this group has developed can be tried on the grand-challenge.org platform:
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vertebra-segmentation was not found in the public algorithms on grand challenge
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vertebral-fracture-assessment was not found in the public algorithms on grand challenge
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vertebral-abnormality-scoring was not found in the public algorithms on grand challenge
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rib-segmentation was not found in the public algorithms on grand challenge
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femur-segmentation-in-ct was not found in the public algorithms on grand challenge
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hip-bone-segmentation-in-ct was not found in the public algorithms on grand challenge
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tibia-segmentation-in-ct was not found in the public algorithms on grand challenge
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wrist-segmentation was not found in the public algorithms on grand challenge
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body-composition was not found in the public algorithms on grand challenge