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Updated: Mar 3, 2026
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使用稀疏分解的定量光声成像算法用于光声和超声双模式成像
Yang Liu1, Boheng Zhang1,2,3, Yiming Ma1,2,4
1School of Astronautics, Harbin Institute of Technology, Harbin, Heilongjiang 150000, China.
Biomedical optics express
|March 2, 2026
概括
这项研究引入了定量光声学断层扫描 (qPAT) 的新算法,以准确地绘制组织吸收系数. 它提高了图像质量和细节,以更好地可视化血管和器官.
科学领域:
- 生物医学光学 生物医学光学
- 医疗成像医学成像
- 定量摄影声学断层扫描 (Quantitative Photoacoustic Tomography) 是一种用于测量声学图像的方法.
背景情况:
- 原始光声学 (PA) 图像提供了关于生物组织的有限信息.
- 精确的吸收系数 (AC) 地图是必要的,以进行详细的组织分析,但会受到非均的光流量 (LF) 的影响.
研究的目的:
- 开发一种新的定量重建算法,以改善PA成像中的AC提取.
- 提高PA图像的准确性和质量,以获得更好的结构和功能信息.
主要方法:
- 这是一种双模式的方法,结合了光声断层扫描和超声波 (PAUS).
- 超声波细分用于定义蒙特卡洛 (MC) 光传输模型的结构界限.
- 一个基于稀疏信号表示理论的新型定量重建算法,以分离LF组件.
主要成果:
- 该算法成功地改进了复杂组织中的AC成像准确性.
- 在特征可见性,边界定义和整体图像质量方面显著改进.
- 在模拟和体内模型中观察到增强的结构和功能信息.
结论:
- 开发的算法通过准确提取吸收系数来推进定量光声学断层扫描.
- 这种方法有望改善血管和器官的检测和定量成像.
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