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在光声成像中增加SNR的多孔口编码方案
Amir Gholampour1, Camilo Cano1, Marc R H M van Sambeek1,2
1Photoacoustics and Ultrasound Laboratory Eindhoven (PULS/e), Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, 5600 MB, The Netherlands.
Photoacoustics
|December 13, 2024
概括
一个新的多孔编码方案 (MAES) 提高了光声成像中的信号噪声比 (SNR). 这种方法通过同时接收信号来改善身体内部结构的非侵入性成像,从而提高诊断能力.
科学领域:
- 生物医学光学 生物医学光学
- 医学成像医学成像
- 声学工程 声学工程
背景情况:
- 光声成像 (PAI) 提供了对身体内部结构和组织形态的非侵入性可视化.
- 多孔PAI (MP-PAI) 比传统的PAI提高了分辨率,对比度和视野.
- 现有的MP-PAI系统使用具有共享通道的电容微机超声传感器 (CMUT) 面临信号噪声比 (SNR) 的限制.
研究的目的:
- 引入和验证一个多孔编码方案 (MAES) 来增强MP-PAI系统中的SNR.
- 在MAES中开发一个分析模型,以任意编码序列计算SNR.
- 通过模拟和实验,将MAES与传统MP-PAI的性能进行比较.
主要方法:
- 实施MAES,涉及使用编码矩阵从多个CMUT同时接收信号.
- 通过应用解码矩阵,从共享通道中恢复叠加的信号.
- 使用数值模拟和双极和单极编码序列的实验研究验证分析SNR模型和MAES性能.
主要成果:
- 数字模拟表明,MAES与传统MP-PAI相比,使用15个传感器实现了5.8dB (S序) 和8.8dB (截断的Hadamard) 的SNR增益.
- 使用S序的三个传感器的实验结果显示,相对于传统的MP-PAI,SNR有1.5dB的改善.
- 实验结果与分析SNR模型的预测非常一致.
结论:
- 在多孔光声成像系统中,MAES有效地增加了SNR.
- 拟议的编码方案为非侵入性医学成像应用提供了显著的改进.
- MAES提供了一种可行的策略,以克服当前MP-PAI技术中的SNR限制.
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