A vertebral compression fracture score based on deep generative contextual modeling

Michel Botros, Matthieu Rutten, Twan van Laarhoven, Nikolas Lessmann

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Grading of vertebral compression fractures most commonly relies on a semi-quantitative grading scale that defines fractures as height loss of the vertebral body. This paper presents an alternative approach that instead considers the three-dimensional shape of the vertebral body and expresses the abnormality of the shape on a scale from 0 to 100. The abnormality is expressed relative to the expected healthy shape, which is predicted by a deep generative model that is provided with contextual information, namely shape and orientation of surrounding vertebrae.
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Friday 8th July
Poster Session 3.2 - onsite 11:00 - 12:00, virtual 15:20 - 16:20 (UTC+2)
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