3D ultrasound-based strain assessment of the knee medial collateral ligaments: A Novel In-Silico Optimization and validation platform

5 pages•Published: December 17, 2024

Lucas Milakovic, Marcus Ingram, Jan D'hooge and Lennart Scheys

Abstract

This paper introduces a novel in-silico platform for designing, optimizing and validating 3D ultrasound speckle-tracking algorithms that target the biomechanical characterization of knee collateral ligaments. The platform is based on a numerical model of a cadaveric knee following knee arthroplasty (TKA) with a posterior stabilized implant and with experimentally obtained subject-specific material properties of knee collateral ligaments. Applying the platform to develop a 3D ultrasound speckle-tracking algorithm shows promise as the resulting algorithm is capable to capture subtle deformations and strain patterns, with root mean square errors of 0.10 and 0.72 for maximal and minimal principal strains, respectively. However, optimization and in-silico validation are currently limited to one specimen and loading scenario, necessitating further research. Nevertheless, this work lays the foundation for advancing ultrasound-based biomechanical assessments from 2D to 3D, particularly in knee arthroplasty, with the potential for broader clinical impact on musculoskeletal health assessments.

Keyphrases: 3d speckle tracking, biomechanical assessment, knee collateral ligaments, ultrasound simulation

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 167-171.

Links:	https://easychair.org/publications/paper/ntm4
	https://doi.org/10.29007/dfft

BibTeX entry

@inproceedings{CAOS2024:3D_ultrasound_based_strain,
  author    = {Lucas Milakovic and Marcus Ingram and Jan D'hooge and Lennart Scheys},
  title     = {3D ultrasound-based strain assessment of the knee medial collateral ligaments: A Novel In-Silico Optimization and validation platform},
  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/ntm4},
  doi       = {10.29007/dfft},
  pages     = {167-171},
  year      = {2024}}

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