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Image Processing for Pathological Visualization in Multitemporal Convoluted TIRI

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Open access
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Date
2012
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Conference Paper

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Khan, Masood M. and Arthur, Daniel TJ. and Barclay, Luke C. 2012. Image Processing for Pathological Visualization in Multitemporal Convoluted TIRI, in Yuan Ting Zhang (ed), IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2012), Jan 5 2012, pp. 725-728.Shenzhen, China: IEEE-EMBS
Source Title
Proceedings of IEEE-EMBS 2012 BHI:
Source Conference
IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2012)
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Department of Mechanical Engineering
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© 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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Abstract

The convoluted nature of thermal infrared radiation and poor understanding of the physical mechanismsof human emittance, make objective image acquisition and processing protocols prerequisite for meaningful diagnostic specificity. A longitudinal dataset of clinical thermal infrared images was objectively processed to facilitate visualization of osseous stress pathology in the lower limbs.. This paper details processing of 500+ thermal infrared images acquired during a recent three month clinical study into osseous stress pathology in the lower limbs of Australian Army basic trainees. The use ofthermal chroma-keying in segmentation and multitemporal image calibration is demonstrated. The ‘OpenSURF’ implementation of the scale and rotation-invariant interest point detector and escriptor are shown to be performant in registration of multitemporal clinical thermal infrared image data. Thermal ‘signs’ observed in longitudinal images appear to be revealing detectable changes in osseous stress pathophysiology.