Algorithmic Aspects in the Evaluation of 3D-Bodyscanning-Data for Scoliosis Therapy - 26.45
Title:
Algorithmic Aspects in the Evaluation of 3D-Bodyscanning-Data for Scoliosis Therapy
Authors:
Anselm NAAKE, Felix KUNZELMANN, Yordan KYOSEV
Chair of Development and Assembly of Textile Products, ITM, TU Dresden, Germany
Abstract:
The diagnosis of scoliosis and subsequent treatment decisions are largely based on X-ray images. Since the use of X-rays exposes patients, most of whom are minors, to radiation, there is considerable interest in reducing the use of X-rays as much as possible. 3D laser scanning techniques have been used in this field for over 30 years. Although the necessary analysis and evaluation methods have been established and validated in other fields, such as RGB imaging and depth sensors, they are not widely used in 3D body scanning. In this paper, we present an open-source implementation of the methods required for scoliosis analysis based on 3D scans and evaluate the suitability of various 3D scanner principles in this regard.
Abstract:
Presentation:
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How to Cite (MLA):
Naake, Anselm et al., "Algorithmic Aspects in the Evaluation of 3D-Bodyscanning-Data for Scoliosis Therapy", Proceedings of 3DBODY.TECH 2026 - 17th International Conference and Expo on 3D/4D Body Technologies, Lugano, Switzerland, 20-21 Oct. 2026, #45
Details:
Proceedings: 3DBODY.TECH 2026, 20-21 Oct. 2026, Lugano, Switzerland
Paper/Presentation: #45
DOI: -
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