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基于偏微分方程热分析算法的乳腺癌估计建模

Breast Cancer Estimate Modeling via PDE Thermal Analysis Algorithms.

作者信息

Park Young Hoon, Yang Sung Mo

机构信息

Department of Precision Mechanical Engineering, Chonbuk National University, 567 Baekje-daero, Jeonjusi 561-756, Korea.

出版信息

Bioengineering (Basel). 2018 Nov 5;5(4):98. doi: 10.3390/bioengineering5040098.

DOI:10.3390/bioengineering5040098
PMID:30400595
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6316746/
Abstract

The significance of this study lies in the importance of (1) nondestructive testing in defect studies and (2) securing the reliability of breast cancer prediction through thermal analysis in nondestructive testing. Most nondestructive tests have negative effects on the human body. Moreover, the precision and accuracy of such tests are poor. This study analyzes these drawbacks and increases the reliability of such methods. A theoretical model was constructed, by which simulated inner breast tissue was observed in a nondestructive way through thermal analysis, and the presence and extent of simulated breast cancer were estimated based on the thermal observations. Herein, we studied the medical diagnosis of breast cancer by creating a theoretical environment that simulated breast cancer in a real-world setting; the model used two-dimensional modeling and partial differential equation (PDE) thermal analysis. Our theoretical analysis, based on partial differential equations, allowed us to demonstrate that non-wounding defect detection is possible and, in many ways, preferable. The main contribution of this paper lies in studying long-term estimates. In addition, the model in this study can be extended to predict breast cancer through pure heat and can also be used for various other cancer and tumor analyses in the human body.

摘要

本研究的意义在于

(1)无损检测在缺陷研究中的重要性;(2)通过无损检测中的热分析确保乳腺癌预测的可靠性。大多数无损检测对人体有负面影响。此外,此类检测的精度和准确性较差。本研究分析了这些缺点并提高了此类方法的可靠性。构建了一个理论模型,通过该模型以无损方式通过热分析观察模拟的乳腺内部组织,并根据热观测结果估计模拟乳腺癌的存在和程度。在此,我们通过创建一个在现实环境中模拟乳腺癌的理论环境来研究乳腺癌的医学诊断;该模型使用二维建模和偏微分方程(PDE)热分析。我们基于偏微分方程的理论分析使我们能够证明非侵入性缺陷检测是可能的,并且在许多方面更可取。本文的主要贡献在于研究长期估计。此外,本研究中的模型可以扩展到通过纯热来预测乳腺癌,还可用于人体中各种其他癌症和肿瘤的分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bc2/6316746/6c44e3020ffc/bioengineering-05-00098-g017.jpg
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