Assessment of thoracic spinal curvatures in static postures using spatially tracked 3D ultrasound volumes: a proof-of-concept study.

Autor: Meszaros-Beller L; School of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, Australia. l2.meszaros@qut.edu.au.; Centre for Biomedical Technologies, Queensland University of Technology, Brisbane, Australia. l2.meszaros@qut.edu.au., Antico M; Centre for Biomedical Technologies, Queensland University of Technology, Brisbane, Australia.; Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Queensland, Australia.; School of Clinical Sciences, Queensland University of Technology, Brisbane, Australia., Fontanarosa D; Centre for Biomedical Technologies, Queensland University of Technology, Brisbane, Australia.; School of Clinical Sciences, Queensland University of Technology, Brisbane, Australia., Pivonka P; School of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, Australia.; Centre for Biomedical Technologies, Queensland University of Technology, Brisbane, Australia.
Jazyk: angličtina
Zdroj: Physical and engineering sciences in medicine [Phys Eng Sci Med] 2023 Mar; Vol. 46 (1), pp. 197-208. Date of Electronic Publication: 2023 Jan 10.
DOI: 10.1007/s13246-022-01210-7
Abstrakt: The assessment of spinal posture is a difficult endeavour given the lack of identifiable bony landmarks for placement of skin markers. Moreover, potentially significant soft tissue artefacts along the spine further affect the accuracy of marker-based approaches. The objective of this proof-of-concept study was to develop an experimental framework to assess spinal postures by using three-dimensional (3D) ultrasound (US) imaging. A phantom spine model immersed in water was scanned using 3D US in a neutral and two curved postures mimicking a forward flexion in the sagittal plane while the US probe was localised by three electromagnetic tracking sensors attached to the probe head. The obtained anatomical 'coarse' registrations were further refined using an automatic registration algorithm and validated by an experienced sonographer. Spinal landmarks were selected in the US images and validated against magnetic resonance imaging data of the same phantom through image registration. Their position was then related to the location of the tracking sensors identified in the acquired US volumes, enabling the localisation of landmarks in the global coordinate system of the tracking device. Results of this study show that localised 3D US enables US-based anatomical reconstructions comparable to clinical standards and the identification of spinal landmarks in different postures of the spine. The accuracy in sensor identification was 0.49 mm on average while the intra- and inter-observer reliability in sensor identification was strongly correlated with a maximum deviation of 0.8 mm. Mapping of landmarks had a small relative distance error of 0.21 mm (SD = ± 0.16) on average. This study implies that localised 3D US holds the potential for the assessment of full spinal posture by accurately and non-invasively localising vertebrae in space.
(© 2023. The Author(s).)
Databáze: MEDLINE
Externí odkaz: