基于多岛遗传算法对生物组织内部热源重建的研究
Fuli Ye1, Diwen Shi1, Cheng Xu1
1School of Biomedical Engineering and Imaging, Xianning Medical College, Hubei University of Science and Technology, Xianning, 437100, China.
Heliyon
|September 23, 2024
概括
这项研究提出了一种新的方法,用于在生物组织中非侵入性地重建内部热源和温度场. 多岛基因算法 (MIGA) 将反向生物热传输问题转化为直接问题,显示出临床应用的有前途潜力.
科学领域:
- 工程热物理学 工程热物理学
- 生物医学工程 生物医学工程
- 计算式热传输是一种热传输技术.
背景情况:
- 人类生物传热研究正在从定性分析向定量分析发展.
- 从表面温度来确定内部热源的分布是一个复杂的逆热传导问题.
- 解决逆热传导问题的传统方法往往涉及复杂的边界条件和规范化.
研究的目的:
- 将一个逆转生物热传递问题转化为一个直接的问题,用于内部热源的非侵入性重建.
- 开发一种方法来确定生物组织内的3D温度场.
- 为了避免复杂的边界条件和传统数值方法固有的规范化.
主要方法:
- 利用多岛基因算法 (MIGA) 来优化内部热源的位置和温度.
- 通过将测量的表面温度与模拟的温度进行比较,将反向问题转化为直接模拟.
- 采用热红外成像仪获取表面温度测量结果进行比较.
主要成果:
- 在重建热源位置和温度场方面取得了高精度,实验电阻的误差低于2.31%.
- 证明了温度分布的成功模拟,与实验数据密切匹配.
- 验证了MIGA方法用于准确识别内部热源参数.
结论:
- 提出的方法有效地重建了内部热源和3D温度场的非侵入性.
- 这种方法为解决逆生物热传递问题的传统方法提供了一个简化的替代方案.
- 该技术显示出临床应用的巨大潜力,如瘤高温和热诊断.
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