Non-planar Surface Shape Reconstruction from a Point Cloud in the Context of Muscles Attachments Estimation

Josef Kohout, Martin Cervenka

2022

Abstract

Knowledge of muscle attachments on bones is essential for musculoskeletal modelling. A muscle attachment is often represented by points (in 3D) obtained by a manual digitisation system during dissection. Although this representation suffices for many purposes, sophisticated musculoskeletal models commonly require representing a muscle attachment by a surface patch or at least by a closed boundary curve. In this paper, therefore, we propose an approach to automatic shape reconstruction from such point sets. It is based on iso-contour extraction from a scalar field of distances to geodetics connecting the pairs of points (from the input set) as identified by a state-of-the-art algorithm for 2D curve reconstruction running on the input points transformed to 2D. We investigated the performance of 15 existing state-of-the-art algorithms with public implementations on the TLEM 2.0 data set of muscle attachments. The best results were obtained for the lenz algorithm with just one unacceptable reconstruction when standard projection onto a best-fit plane was used to transform the input 3D points to 2D. The second algorithm was α-shape with three unacceptable reconstructions, whereas in this case, the multidimensional scaling technique was exploited to transform the points.

Paper Citation

in Harvard Style

Kohout J. and Cervenka M. (2022). Non-planar Surface Shape Reconstruction from a Point Cloud in the Context of Muscles Attachments Estimation. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 1: GRAPP; ISBN 978-989-758-555-5, SciTePress, pages 236-243. DOI: 10.5220/0010869600003124

in Bibtex Style

@conference{grapp22,
author={Josef Kohout and Martin Cervenka},
title={Non-planar Surface Shape Reconstruction from a Point Cloud in the Context of Muscles Attachments Estimation},
booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 1: GRAPP},
year={2022},
pages={236-243},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010869600003124},
isbn={978-989-758-555-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 1: GRAPP
TI - Non-planar Surface Shape Reconstruction from a Point Cloud in the Context of Muscles Attachments Estimation
SN - 978-989-758-555-5
AU - Kohout J.
AU - Cervenka M.
PY - 2022
SP - 236
EP - 243
DO - 10.5220/0010869600003124
PB - SciTePress