کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
505391 864499 2014 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Thermographic evaluation of early melanoma within the vascularized skin using combined non-Newtonian blood flow and bioheat models
ترجمه فارسی عنوان
ارزیابی ترموگرافی ملانوم اولیه در پوست عروقی با استفاده از مدل های جریان خون غیر نیوتنی و بیوشیمی
کلمات کلیدی
جریان خون غیر نیوتنی، معادله بیوگرافی، ملانوم اولیه، تصویربرداری حرارتی، تشخیص پزشکی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی


• Coupled bioheat and blood flow model has been proposed for thermal imaging of melanoma.
• Blood rheological properties have been studied and their importance has been discussed.
• Thermal performance of dynamic thermal imaging reduces due to regional vessels.
• Thermal evaluation criteria for detection of early melanoma has been predicted.

A theoretical study on vascularized skin model to predict the thermal evaluation criteria of early melanoma using the dynamic thermal imaging technique is presented in this article. Thermographic evaluation of melanoma has been carried out during the thermal recovery of skin from undercooled condition. During thermal recovery, the skin has been exposed to natural convection, radiation, and evaporation. The thermal responses of melanoma have been evaluated by integrating the bioheat model for multi-layered skin with the momentum as well as energy conservation equations for blood flow. Differential changes in the surface thermal response of various melanoma stages except that of the early stage have been determined. It has been predicted that the thermal response due to subsurface blood flow overpowers the response of early melanoma. Hence, the study suggests that the quantification of early melanoma diagnosis using thermography has not reached a matured stage yet. Therefore, the study presents a systematic analysis of various intermediate melanoma stages to determine the thermal evaluation criteria of early melanoma. The comprehensive modeling effort made in this work supports the prediction of the disease outcome and relates the thermal response with the variation in patho-physiological, thermal and geometrical parameters.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Biology and Medicine - Volume 53, 1 October 2014, Pages 206–219
نویسندگان
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