Low-cost compact cameras: a medical application in CMT disease monitoring

Chong, Albert K. (2011) Low-cost compact cameras: a medical application in CMT disease monitoring. Photogrammetric Record, 26 (134). pp. 263-273. ISSN 0031-868X

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Official URL: http://dx.doi.org/10.1111/j.1477-9730.2011.00638.x

Identification Number or DOI: doi: 10.1111/j.1477-9730.2011.00638.x

Abstract

Recently, the price of low-cost compact cameras has fallen further, while in many brands and models the image pixel count has improved. These factors have increased their potential for photogrammetric measurement. In a recent event, there was a need for practitioners to have access to a photogrammetric technique for an application relating to Charcot–Marie–Tooth (CMT) disease. In this investigation, a low-cost multi-camera imaging system was developed for use by health-care practitioners. A case study of CMT disease of the upper limb was provided to demonstrate the suitability of the imaging system using these compact cameras. The objective of this paper is, therefore, to discuss the methodology and test results of an investigation into the suitability of these cameras for application in CMT disease. The imaging system was evaluated using four compact cameras, namely: Sony DSC-S700; Fujifilm A170;Canon A495; and Canon A490. Twenty-four calibrated slope distances were used for comparison of 3D measurement precisions with the different cameras used at two different object distances. The investigation showed that these compact cameras produced less precise measurements compared to the more expensive (above US$700)compact or SLR cameras. However, the current desired accuracy requirement for CMT disease applications is around 1 mm; hence these cameras are appropriate for the planned application.

Item Type:Article (Commonwealth Reporting Category C)
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Uncontrolled Keywords:change monitoring; Charcot–Marie–Tooth disease; clip-on control target panel; compact camera; human body mapping
Fields of Research (FOR2008):08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080104 Computer Vision
10 Technology > 1004 Medical Biotechnology > 100402 Medical Biotechnology Diagnostics (incl. Biosensors)
09 Engineering > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing
Subjects:UNSPECIFIED
Socio-Economic Objective (SEO2008):C Society > 92 Health > 9299 Other Health > 929999 Health not elsewhere classified
ID Code:19578
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Deposited On:06 Sep 2011 16:36
Last Modified:26 Nov 2012 11:41

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