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Classification of Bones01:18

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The bones of the human skeletal system are of varied shapes, sizes, and functions. They can be classified based on their shape and function into four major classes: long bones, short bones, flat bones, and irregular bones. Some classifications include a fifth type, the sesamoid bones, as a separate class, whereas others categorize them under short bones.
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The appendicular skeleton, particularly the upper and lower limbs, is primarily made of long and short bones. The...
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Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population
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Genetic algorithms-based inversion of multimode guided waves for cortical bone characterization.

N Bochud1, Q Vallet, Y Bala

  • 1Sorbonne Universités, UPMC Univ Paris 06, CNRS UMR 7371, INSERM UMR S1146, Laboratoire d'Imagerie Biomédicale, 15 Rue de l'École de Médecine, F-75006, Paris, France.

Physics in Medicine and Biology
|September 13, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces a new genetic algorithm method for quantitative ultrasound to assess bone properties. This user-independent approach accurately estimates cortical thickness and porosity, improving bone strength assessment.

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Area of Science:

  • Biomedical Engineering
  • Materials Science
  • Medical Imaging

Background:

  • Quantitative ultrasound utilizes long bone multimode waveguide responses for strength assessment.
  • Inferring stiffness and cortical thickness from guided modes is challenging due to multiparametric inverse problems.
  • Current methods rely on assumptions and user-dependent data selection.

Purpose of the Study:

  • To introduce an efficient, user-independent inversion method for quantitative ultrasound bone assessment.
  • To utilize genetic algorithms with multimode guided waves, keeping mode-order blind.
  • To validate the method on bone-mimicking phantoms and ex vivo/in vivo human bone.

Main Methods:

  • Developed a genetic algorithm-based inversion scheme for multimode guided wave analysis.
  • Validated the method using laboratory measurements on isotropic plates and bone phantoms.
  • Applied the method to ex vivo human radii and in vivo radial measurements.

Main Results:

  • Model parameters (cortical thickness, porosity) estimated from ex vivo radii closely matched X-ray micro-CT reference values.
  • In vivo estimated cortical thickness correlated well with high-resolution peripheral quantitative CT (HR-pQCT) measurements.
  • The blind mode-order genetic algorithm approach proved effective and user-independent.

Conclusions:

  • The proposed genetic algorithm method offers an efficient and reliable user-independent approach for quantitative ultrasound bone analysis.
  • This technique accurately estimates critical bone parameters like cortical thickness and porosity.
  • The findings support the potential of this method for improved in vivo bone strength assessment.