کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
504768 864429 2016 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Tumor parameter estimation considering the body geometry by thermography
ترجمه فارسی عنوان
برآورد پارامتر تومور با توجه به هندسه بدن از طریق ترموگرافی
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی


• Methodology for the estimation of thermo-physio-biological parameters of tumor.
• Genetic Algorithm (GA) to estimate the thermal and physical parameters of tumor.
• Anatomically model that provides thermal computation reducing false negative results.
• Compared the estimated result with numerical simulation, good agreement was obtained.

Implementation of non-invasive, non-contact, radiation-free thermal diagnostic tools requires an accurate correlation between surface temperature and interior physiology derived from living bio-heat phenomena. Such associations in the chest, forearm, and natural and deformed breasts have been investigated using finite element analysis (FEA), where the geometry and heterogeneity of an organ are accounted for by creating anatomically-accurate FEA models. The quantitative links are involved in the proposed evolutionary methodology for forecasting unknown Physio-thermo-biological parameters, including the depth, size and metabolic rate of the underlying nodule. A Custom Genetic Algorithm (GA) is tailored to parameterize a tumor by minimizing a fitness function. The study has employed the finite element method to develop simulated data sets and gradient matrix. Furthermore, simulated thermograms are obtained by enveloping the data sets with ±10% random noise.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Biology and Medicine - Volume 76, 1 September 2016, Pages 80–93
نویسندگان
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