Estimation of Musculoskeletal Features by Infering Femur from Thigh Skin

4 pages•Published: December 17, 2024

Oulimata Gueye, Guillaume Dardenne, Jocelyne Troccaz and Valerie Burdin

Abstract

Musculoskeletal disorders (MSDs) pose significant healthcare challenges. This study ad- dresses diagnostic limitations by proposing a novel algorithm able to estimate key anatom- ical features of the femur from thigh skin. Leveraging a dataset of 50 angioscanner thigh- femur pairs, we pioneer a robust Statistical Shape Model (SSM) that captures correlations between the skin and the underlying femur. Femur inference from a known thigh uses a Bayesian approach and demonstrates promising results. Although the femur reconstruc- tion error may seem high, it is important to note that the goal is MSK feature estimation rather than precise bone reconstruction. Preliminary results are promising, suggesting a potential application in non-invasive MSK diagnosis for surgery.

Keyphrases: femur, markov chain monte carlo (mcmc), statistical shape model (ssm), thigh

In: Joshua W Giles and Aziliz Guezou-Philippe (editors). Proceedings of The 24th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery, vol 7, pages 80-83.

Links:	https://easychair.org/publications/paper/wzk4
	https://doi.org/10.29007/d1nt

BibTeX entry

@inproceedings{CAOS2024:Estimation_Musculoskeletal_Features_Infering,
  author    = {Oulimata Gueye and Guillaume Dardenne and Jocelyne Troccaz and Valerie Burdin},
  title     = {Estimation of Musculoskeletal Features by Infering Femur from Thigh Skin},
  booktitle = {Proceedings of The 24th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery},
  editor    = {Joshua W Giles and Aziliz Guezou-Philippe},
  series    = {EPiC Series in Health Sciences},
  volume    = {7},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-5305},
  url       = {/publications/paper/wzk4},
  doi       = {10.29007/d1nt},
  pages     = {80-83},
  year      = {2024}}

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