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Journal of Medical and Biological Engineering

, Volume 37, Issue 4, pp 519–526 | Cite as

In vivo Bone Position Measurement Using High-Frequency Ultrasound Validated with 3-D Optical Motion Capture Systems: A Feasibility Study

  • Romano Giannetti
  • Anthony Petrella
  • Joel Bach
  • Anne K. Silverman
  • M. A. Sáenz-Nuño
  • N. Pérez-Mallada
Original Article

Abstract

Accurate measurement of bone position in vivo during dynamic activities has the potential to improve our identification and understanding of injury mechanisms and enhance our ability to design protective equipment and/or devices for rehabilitation and human augmentation. Existing technologies such as skin-mounted reflective markers and fluoroscopy are limited either in accuracy or portability. The purpose of this study was to demonstrate a proof of concept for an ultrasound (US) sensor array to measure bone positions around a human joint in vivo. A single off-the-shelf US sensor was tested for repeatability and accuracy in measuring soft tissue depth between the skin surface and embedded bone with (a) a gelatinous analog for human tissue, and (b) a porcine leg specimen. In measuring the hydrogel analog the sensor was able to measure depth with a repeatability of 0.25 mm. In measuring the porcine leg specimen, measurement accuracy was compared to a Qualisys optical motion capture system with accuracy on the order of 0.5 mm, and the US measurement uncertainty was found to be 1.1 mm. An additional set of tests on a similar system performed on a human participant performing elbow flexion/extension confirms that the method is usable for evaluating both the bone position and the muscle volume during movement analysis measurements. This study demonstrates that low cost off-the-shelf US sensors have acceptable quality to measure bone positions accurately in vivo.

Keywords

Bone position Skeletal position tracking Biomechanical measurement Biomedical transducers Ultrasonic transducer 

Notes

Acknowledgement

The authors would like to thanks the College of Engineering & Computational Sciences (CECS), Colorado School of Mines for the early financial support for the research, and the Escuela Universitaria de Enfermeria y Fisioterapia “San Juan de Dios”, Pontifical Comillas University for the availability of the gait analysis laboratories.

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Copyright information

© Taiwanese Society of Biomedical Engineering 2017

Authors and Affiliations

  1. 1.Pontifical Comillas UniversityMadridSpain
  2. 2.Colorado School of MinesGoldenUSA

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