采用稀疏测量数据的有限角度光声层析成像的研究进展

生物光声层析(Photoacoustic Tomography,PAT)成像可以反映生物组织的光吸收分布,定量测量组织的光吸收系数和散射系数,进而分析组织成分,为疾病的早期诊断和治疗提供可靠的依据。由于成像目标特殊的几何结构以及成像装置的机械结构、空间位置和成像时间等的限制,超声探测器只能在有限的角度范围内扫描,采集到稀疏的光声测量数据,导致重建图像中出现伪影和失真。针对有限角度扫描和稀疏测量数据问题,对目前主流的光声图像重建算法进行综述和分析。

Progress of limited-view photoacoustic tomography imaging based on sparse measurement

Biological photoacoustic tomography (PAT) imaging is a newly developed imaging modality for the early diagnosis and treatment of diseases. By PAT imaging, the optical absorption distribution of biological tissues can be reflected and the optical absorption and scattering coefficients of the tissues can be quantitatively measured, and then the functional composition of tissues can be analyzed. In clinical applications, ultrasonic detectors can only scan within a limited range of angles due to the limitations in particularity of the target morphology, mechanical structure, spatial location and imaging time. Thus, artifacts and distortions may occur in the reconstructed images caused by sparse sampling data. In this paper, the current methods solving limited-view PAT image reconstruction from sparse measurement are summarized. Existing problems are also analyzed.