首页|一种基于前向成像模型的光声层析图像重建方法

一种基于前向成像模型的光声层析图像重建方法

扫码查看
在光声层析成像(photoacoustic tomography,PAT)时,不均匀光通量分布、组织复杂的光学和声学特性以及超声探测器的非理想特性等因素会导致重建图像质量下降.本文考虑不均匀光通量、非定常声速、超声探测器的空间脉冲响应和电脉冲响应、有限角度扫描和稀疏采样等因素的影响,建立了前向成像模型.通过交替优化求解成像模型的逆问题,实现光吸收能量分布图和声速分布图的同时重建.仿真、仿体和在体实验结果表明,与反投影法、时间反演法和短滞后空间相干法相比,该方法重建图像的结构相似度和峰值信噪比可分别提高约 83%、56%、22%和 80%、68%、58%.由上述结果可知,对非理想成像场景采用该方法重建的图像质量有显著提高.
A photoacoustic tomography image reconstruction method based on forward imaging model
Aiming at the issue of degraded image quality in photoacoustic tomography(PAT)caused by the inhomogeneous light fluence distribution,complex optical and acoustic properties of biological tissues,and non-ideal properties of ultrasonic detectors,we propose a comprehensive forward imaging model.The model takes into account variables such as the inhomogeneous light fluence,unsteady speed of sound,spatial and electrical impulse responses of ultrasonic transducers,limited-view scanning,and sparse sampling.The in-verse problem of the imaging model is solved by alternate optimization,and images representing optical ab-sorption and speed of sound(SoS)distributions are reconstructed simultaneously.The results indicate that the structural similarity of the reconstructed images of the proposed method can be enhanced by about 83%,56%,and 22%,in comparison with back projection,time-reversal,and short-lag spatial coherence techniques,respectively.Additionally,the peak signal-to-noise ratio can be improved by approximately 80%,68%and 58%,respectively.This method considerably enhances the image quality of non-ideal imaging scenarios when compared to traditional techniques.

photoacoustic tomographyimage reconstructionforward imaging modelpulse response of de-tectorlimited-view scanningsparse sampling

程丽君、孙正、孙美晨、侯英飒

展开 >

华北电力大学,电子与通信工程系,河北保定 071003

华北电力大学河北省电力物联网技术重点实验室,河北保定 071003

光声层析成像 图像重建 前向成像模型 探测器脉冲响应 有限角度扫描 稀疏采样

国家自然科学基金

62071181

2024

中国光学
中国科学院长春光学 精密机械与物理研究所 中国光学学会

中国光学

CSTPCD北大核心
影响因子:2.02
ISSN:2095-1531
年,卷(期):2024.17(2)
  • 30