Discrimination of Various Micro-Textures in Human Skin Using Intelligent Laser Speckle Technique
Wafaa Ezaat Ali Ali;
Abstract
When human skin surface is illuminated by a coherence light, the interference of the resulting scattered wavelets presents a particular intensity distribution, making the surface appear to be covered with a fine granular structure of dark and bright spots called a “speckle pattern”. Laser speckle technique is permanently used for examining optical roughness of different rough surfaces with features dimensions in the range of visible light wavelength as human skin. Investigation of the correlation between human skin surface roughness and sugar levelin human blood is presented using laser speckle technique. In-vivo photography of the scattered coherent wavelets leading to the formation of laser speckle finger print” Bio-speckle”. Investigation such speckle pattern from the human skin surface will be used as a measure for the diabetic human blood value individual.
Also, the relation between Gamma irradiation linear attenuation coefficient of artificial silicone skin surface model for different Gamma energies is presented. Moreover, the effect of different irradiation doses on the skinsilicon model has been displayed using laser speckle technique.
The artificial silicone skin (phantom) was preparedwith different thickness. The mass attenuation coefficients werecalculated and measured in the energy range of 662–1333keV. It’s found that the coefficientsdecreased with photon energy. The partial interactions were calculated using WinXCom program. Itwas found that the Compton scattering was the main interaction when the photon penetrated theskin. All of the partial interactions decreased with the increase of photon energy. The investigation of speckle for different laser diodes at different thickness has been discussed in this work before and afterapplying Gamma irradiation using different laser diodes. The contrast is increased from the originalvalue before irradiation with all the different thicknesses of the artificial skin. So, irradiation increasedthe surface roughness of the skin, which might indicate surface etching.
After theinvestigation of human skin surface in-vivo, it’s found that as the degree of sugar in the human body increases the obtained contrast value is increased. So, the laser speckle contrast image is a sensitive technique to detect a diabetic early diagnostic.
Also, the relation between Gamma irradiation linear attenuation coefficient of artificial silicone skin surface model for different Gamma energies is presented. Moreover, the effect of different irradiation doses on the skinsilicon model has been displayed using laser speckle technique.
The artificial silicone skin (phantom) was preparedwith different thickness. The mass attenuation coefficients werecalculated and measured in the energy range of 662–1333keV. It’s found that the coefficientsdecreased with photon energy. The partial interactions were calculated using WinXCom program. Itwas found that the Compton scattering was the main interaction when the photon penetrated theskin. All of the partial interactions decreased with the increase of photon energy. The investigation of speckle for different laser diodes at different thickness has been discussed in this work before and afterapplying Gamma irradiation using different laser diodes. The contrast is increased from the originalvalue before irradiation with all the different thicknesses of the artificial skin. So, irradiation increasedthe surface roughness of the skin, which might indicate surface etching.
After theinvestigation of human skin surface in-vivo, it’s found that as the degree of sugar in the human body increases the obtained contrast value is increased. So, the laser speckle contrast image is a sensitive technique to detect a diabetic early diagnostic.
Other data
| Title | Discrimination of Various Micro-Textures in Human Skin Using Intelligent Laser Speckle Technique | Other Titles | التمييز بين تفاصيل نسيجية ميكرونية مختلفة في الجلد البشري بأستخدام تقنية بقع الليزر الذكية | Authors | Wafaa Ezaat Ali Ali | Issue Date | 2020 |
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