对生物医学应用的光声成像重建和定量分析的进展
Lei Wang1,2, Weiming Zeng3, Kai Long4
1The Laboratory of Digital Image and Intelligent Computation, Shanghai Maritime University, Shanghai 201306, China.
Visual computing for industry, biomedicine, and art
|January 31, 2026
概括
光声学成像 (PAI) 提供高对比度和深度透,但面临着分辨率和速度的挑战. 本综述探讨了PAI方法,图像重建方面的进展,以及其用于定量生理测量的潜力.
科学领域:
- 医疗成像医学成像
- 生物医学光学 生物医学光学
- 声学 声学 在声学方面
背景情况:
- 光声成像 (PAI) 融合了光学对比度与超声波的深度透,从研究过渡到临床使用.
- 临床采用受到透深度,空间分辨率和成像速度之间的权衡所阻碍.
研究的目的:
- 综合审查PAI原则,实施和最近的进展.
- 分析图像重建,文物抑制和定量PAI在临床翻译中的作用.
主要方法:
- 对PAI基本原理和三个主要实现的审查:光声学计算机断层扫描,显微镜和内镜.
- 分析基于传统和深度学习 (DL) 的图像重建和文物抑制方法.
- 探索用于生理生物标志物测量的定量PAI.
主要成果:
- 在实际应用中,PAI实现具有明显的优势和局限性.
- 先进的图像重建和文物抑制技术,包括DL,提高图像质量和工作流.
- 定量PAI显示出对精确测量血红蛋白度和氧和度的承诺.
结论:
- DL具有转变的潜力,可以加速PAI的临床演变.
- 解决解决方案,速度和定量分析方面的挑战对于PAI的广泛临床采用至关重要.
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