Quantitative Deconvolution of Human Thermal Infrared Emittance
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 de...
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| Format: | Journal Article |
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IEEE
2012
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| Online Access: | http://hdl.handle.net/20.500.11937/23886 |
| _version_ | 1848751276793266176 |
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| author | Arthur, Daniel Khan, Masood |
| author_facet | Arthur, Daniel Khan, Masood |
| author_sort | Arthur, Daniel |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T07:50:10Z |
| format | Journal Article |
| id | curtin-20.500.11937-23886 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:50:10Z |
| publishDate | 2012 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-238862017-09-13T15:58:58Z Quantitative Deconvolution of Human Thermal Infrared Emittance Arthur, Daniel Khan, Masood clinical infrared imaging skin emissivity Bioheat-transfer modeling human infrared emittance 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. 2012 Journal Article http://hdl.handle.net/20.500.11937/23886 10.1109/TITB.2012.2225108 IEEE restricted |
| spellingShingle | clinical infrared imaging skin emissivity Bioheat-transfer modeling human infrared emittance Arthur, Daniel Khan, Masood Quantitative Deconvolution of Human Thermal Infrared Emittance |
| title | Quantitative Deconvolution of Human Thermal Infrared Emittance |
| title_full | Quantitative Deconvolution of Human Thermal Infrared Emittance |
| title_fullStr | Quantitative Deconvolution of Human Thermal Infrared Emittance |
| title_full_unstemmed | Quantitative Deconvolution of Human Thermal Infrared Emittance |
| title_short | Quantitative Deconvolution of Human Thermal Infrared Emittance |
| title_sort | quantitative deconvolution of human thermal infrared emittance |
| topic | clinical infrared imaging skin emissivity Bioheat-transfer modeling human infrared emittance |
| url | http://hdl.handle.net/20.500.11937/23886 |