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dc.contributor.authorArthur, Daniel
dc.contributor.authorKhan, Masood
dc.identifier.citationArthur, Daniel Terence J. and Khan, Masood Mehmood. 2012. Quantitative Deconvolution of Human Thermal Infrared Emittance. IEEE Transactions on Information Technology in Biomedicine. 99.

The bioheat transfer models conventionally employed in etiology of human thermal infrared (TIR) emittance rely upon two assumptions; universal graybody emissivity and significant transmission of heat from subsurface tissue layers. In this work, a series of clinical and laboratory experiments were designed and carried out to conclusively evaluate the validity of the two assumptions. Results obtained from the objective analyses of TIR images of human facial and tibial regions demonstrated significant variations in spectral thermophysical properties at different anatomic locations on human body. The limited validity of the two assumptions signifies need for quantitative deconvolution of human TIR emittance in clinical, psychophysiological and critical applications. A novel approach to joint inversion of the bioheat transfer model is also introduced, levering the deterministic temperature-dependency of proton resonance frequency in low-lipid human soft tissue for characterizing the relationship between subsurface 3D tissue temperature profiles and corresponding TIR emittance.

dc.subjectclinical infrared imaging
dc.subjectskin emissivity
dc.subjectBioheat-transfer modeling
dc.subjecthuman infrared emittance
dc.titleQuantitative Deconvolution of Human Thermal Infrared Emittance
dc.typeJournal Article
dcterms.source.titleIEEE Transactions on Information Technology in Biomedicine
curtin.accessStatusFulltext not available

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