Development and validation of image-based subject-specific skeletal models of spinal deformity patients for use in motion analysis

4 pages•Published: October 26, 2019

Thomas Overbergh, Pieter Severijns, Lieven Moke, Ilse Jonkers and Lennart Scheys

Abstract

Conventional radiographic analysis in spinal deformity only quantifies the static skeletal body structure and no conclusions can be drawn with respect to functional abilities. The aim of this work was to introduce subject-specific, skeletal full spine multi- body models in a spinal deformity population for quantifying their full dynamic function. To accomplish this, the creation of a subject-specific model as well as its use with optical motion capture was validated.
As such, this work puts within reach the extension of the current state-of-the-art clinical management from static based concepts with concepts that integrate dynamic functional data.

Keyphrases: eos biplanar radiographic imaging, motion analysis, opensim simulation, spinal deformity, spine, subject specific modeling

In: Patrick Meere and Ferdinando Rodriguez Y Baena (editors). CAOS 2019. The 19th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery, vol 3, pages 293-296.

Links:	https://easychair.org/publications/paper/FFls
	https://doi.org/10.29007/47rs

BibTeX entry

@inproceedings{CAOS2019:Development_validation_image_based,
  author    = {Thomas Overbergh and Pieter Severijns and Lieven Moke and Ilse Jonkers and Lennart Scheys},
  title     = {Development and validation of image-based subject-specific skeletal models of spinal deformity patients for use in motion analysis},
  booktitle = {CAOS 2019. The 19th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery},
  editor    = {Patrick Meere and Ferdinando Rodriguez Y Baena},
  series    = {EPiC Series in Health Sciences},
  volume    = {3},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-5305},
  url       = {/publications/paper/FFls},
  doi       = {10.29007/47rs},
  pages     = {293-296},
  year      = {2019}}

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