Literature DB >> 27773361

Structured white light scanning of rabbit Achilles tendon.

Alex Hayes1, Katrina Easton2, Pavan Teja Devanaboyina3, Jian-Ping Wu4, Thomas Brett Kirk5, David Lloyd3.   

Abstract

BACKGROUND: The cross-sectional area (CSA) of a material is used to calculate stress under load. The mechanical behaviour of soft tissue is of clinical interest in the management of injury; however, measuring CSA of soft tissue is challenging as samples are geometrically irregular and may deform during measurement. This study presents a simple method, using structured light scanning (SLS), to acquire a 3D model of rabbit Achilles tendon in vitro for measuring CSA of a tendon.
METHOD: The Artec Spider™ 3D scanner uses structured light and stereophotogrammetry technologies to acquire shape data and reconstruct a 3D model of an object. In this study, the 3D scanner was integrated with a custom mechanical rig, permitting 360-degree acquisition of the morphology of six New Zealand White rabbit Achilles tendons. The reconstructed 3D model was then used to measure CSA of the tendon. SLS, together with callipers and micro-CT, was used to measure CSA of objects with a regular or complex shape, such as a drill flute and human cervical vertebra, for validating the accuracy and repeatability of the technique.
RESULTS: CSA of six tendons was measured with a coefficient of variation of less than 2%. The mean CSA was 9.9±1.0mm2, comparable with those reported by other researchers. Scanning of phantoms demonstrated similar results to μCT.
CONCLUSION: The technique developed in this study offers a simple and accurate method for effectively measuring CSA of soft tissue such as tendons. This allows for localised calculation of stress along the length, assisting in the understanding of the function, injury mechanisms and rehabilitation of tissue. Copyright Â
© 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  3D model; Cross-sectional area; Soft tissue; Structured light; Tendon

Mesh:

Year:  2016        PMID: 27773361     DOI: 10.1016/j.jbiomech.2016.09.042

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  3 in total

1.  Intraoperative integration of structured light scanning for automatic tissue classification: a feasibility study.

Authors:  Brandon Chan; John F Rudan; Parvin Mousavi; Manuela Kunz
Journal:  Int J Comput Assist Radiol Surg       Date:  2020-03-06       Impact factor: 2.924

2.  A novel alginate localization molding technique for cross-sectional area measurement of human tendon to access biomechanical properties.

Authors:  Xiaojing Ge; Jinju Ding; Minghui Wang; Qi Li; Yongcheng Hu; Dengxing Lun; Lei Zhang; Limin Wang; Wenru Wang; Bin Liu
Journal:  Cell Tissue Bank       Date:  2020-08-17       Impact factor: 1.522

3.  A 3D Scanning System for Inverse Analysis of Moist Biological Samples: Design and Validation Using Tendon Fascicle Bundles.

Authors:  Sylwia Dabrowska; Martyna Ekiert; Kaja Wojcik; Marek Kalemba; Andrzej Mlyniec
Journal:  Sensors (Basel)       Date:  2020-07-10       Impact factor: 3.576

  3 in total

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