Reliability of a high accuracy image-based system for 3D modelling of the medial longitudinal arch during gait

Alshadli, Duaa and Chong, Albert K. and McDougall, Kevin and Al-Baghdadi, Jasim and Milburn, Peter and Newsham-West, Richard (2013) Reliability of a high accuracy image-based system for 3D modelling of the medial longitudinal arch during gait. In: International Workshop on Geoinformation Advances 2012, 7-8 Nov 2012, Johor, Malaysia.

[img] Text (Documentation)
GA2012.pdf

Download (946Kb)

Abstract

The Medial Longitudinal Arch (MLA) is the largest arch of the foot and is regarded as the most important foot arch in clinical foot assessments due to its influence on lower limb function, foot stability and foot pain. Each foot is classified as either high arched, low arched or normally arched depending on the structure of the MLA. There are currently a number of techniques that are used to classify the foot in a static state based on measurements of the MLA. These static measurements are then used to predict the behaviour of the foot arch in a dynamic state. However, it is easy to identify limitations with these techniques as the shape of the MLA in a static state cannot predict the behaviour of the MLA during dynamic activities. Therefore, the aim of this chapter is to introduce a high accuracy 3D modelling system that has been developed to map the shape of the MLA during gait using high definition video camcorders. The objectives of the study were hence: (1) to determine whether changes can be detected along the MLA for different weight bearings during gait, (2) to test the accuracy and reliability of the developed imaging system for creating dynamic 3D models of the foot arch and (3) to determine the quality and suitability of the 3D model. The results of the study show that changes can be detected along the MLA during gait with a level of accuracy of less than 0.4 mm when a 3D model of the foot is generated in PhotoModeler Scanner.


Statistics for USQ ePrint 23440
Statistics for this ePrint Item
Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Copyright Springer-Verlag Berlin Heidelberg 2013. Ch 6. Series: Lecture Notes in Geoinformation and Cartography. Published version deposited in accordance with the copyright policy of the publisher. Electronic copy held by USQ Library.
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information
Date Deposited: 09 May 2013 01:54
Last Modified: 12 Sep 2014 03:54
Uncontrolled Keywords: gait; human; medial longitudinal arch; video
Fields of Research : 11 Medical and Health Sciences > 1116 Medical Physiology > 111602 Human Biophysics
09 Engineering > 0903 Biomedical Engineering > 090303 Biomedical Instrumentation
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080106 Image Processing
Socio-Economic Objective: C Society > 92 Health > 9299 Other Health > 929999 Health not elsewhere classified
Identification Number or DOI: 10.1007/978-3-642-36379-5_6
URI: http://eprints.usq.edu.au/id/eprint/23440

Actions (login required)

View Item Archive Repository Staff Only