多波长图形卷积网络用于高性能稀疏多光谱光声断层扫描
Mengyang Lu1, Jingxian Wang2, Jiayuan Peng1
1College of Biomedical Engineering, Fudan University, Shanghai 200433, China.
Photoacoustics
|October 27, 2025
概括
我们开发了一个图形卷积网络,用于稀疏的多谱光声学断层扫描 (MSOT) 成像. 这种方法可以降低硬件成本和对高质量的体内成像的计算需求.
科学领域:
- 生物医学成像技术 生物医学成像技术
- 医学物理 医学物理
- 计算成像技术的成像
背景情况:
- 多光谱光声学断层扫描 (MSOT) 提供无标签,高分辨率,深层组织生物医学成像.
- 高昂的成本和计算需求限制了当前MSOT在体内研究中的应用.
研究的目的:
- 开发一种具有成本效益和计算效率的MSOT方法,用于高质量的体内成像.
- 为了解决MSOT中稀疏数据采集的局限性.
主要方法:
- 为稀疏的MSOT重建提出了一个多波长图形卷积网络.
- 一个图形学习框架整合了多波长稀疏采样策略.
- 该方法模拟了器件分布在稀疏的传感器配置中的相关性.
主要成果:
- 拟议的方法实现了高性能稀疏的MSOT成像,仅使用16个传感器元件.
- 在体内,重建质量得到了SSIM 0.92 ± 0.01和PSNR 27.74 ± 1.27的验证.
- 为稀疏的MSOT展示了一种灵活和实用的解决方案.
结论:
- 图形卷积网络有效地解决了MSOT中不良条件的稀疏重建问题.
- 这种方法显著提高了高质量,低成本的体内MSOT成像的可行性.
- 该方法为推进MSOT应用提供了实用解决方案.
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