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A Software Suite for Limb Volume Analysis Applicable in Clinical Settings: Upper Limb Quantification.

Mauro Nascimben1,2, Lorenzo Lippi3, Nicola Fusco4,5

  • 1Department of Health Sciences, Center for Translational Research on Autoimmune and Allergic Diseases-CAAD, Università Del Piemonte Orientale (UPO), Novara, Italy.

Frontiers in Bioengineering and Biotechnology
|February 17, 2023
PubMed
Summary

A new free software package aids in medical 3D scanning for limb volume quantification. The software shows substantial agreement with clinical measurements, enhancing study reproducibility.

Keywords:
3D laser scanner3D volume measurementfreewarerehabilitationupper limb anatomical shape estimation

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Area of Science:

  • Medical Imaging
  • Biomechanical Engineering
  • Computational Anatomy

Background:

  • Tridimensional scanning in medicine generates digital patient surfaces for anthropometric measurements and limb volume quantification.
  • Limited availability of free software hinders study reproducibility and the evaluation of alternative measurement techniques.
  • Reliance on proprietary software restricts data sharing and inter-center comparisons in medical research.

Purpose of the Study:

  • To introduce a novel, free software package designed for 3D medical imaging analysis.
  • To detail the software's functions for volume assessment and anthropometric measurement.
  • To evaluate the performance of digital volumes generated by the software, including the convex-hull gift-wrapping algorithm.

Main Methods:

  • Development and release of a three-program software package with supporting materials.
  • Introduction of volume assessment steps and upper limb quantification procedures.
  • Pilot study using the software on a small group of young adults to assess digital volume accuracy.

Main Results:

  • The software package demonstrated substantial agreement between clinical measurements and its digital volume configurations (R²: 0.93–0.97, r: 0.965–0.984).
  • The convex-hull gift-wrapping algorithm and other analysis methods within the software were validated.
  • Gender was identified as a potential influencing variable in upper limb volume quantification models.

Conclusions:

  • The developed free software package enhances reproducibility and comparability in medical imaging studies.
  • The software provides accurate limb volume quantification, supporting clinical and research applications.
  • Further research should consider factors like gender when developing generalized limb volume models.