利用微米级分辨率的高分辨光声显微成像系统,对小鼠耳部肿瘤早期血管的生长以及肿瘤对抗血管治疗药物的响应过程进行连续无标记的成像监测;提出将基于三维Hessian矩阵的血管提取算法应用于肿瘤血管的光声定量成像,以提高肿瘤血管的提取精度,并定量分析肿瘤血管的直径、密度、弯曲度等形态学信息变化。结果表明,高分辨光声定量成像在肿瘤及其他以血管变化为病理特征的疾病机制研究方面具有巨大的应用潜力。

We uses a high-resolution (micrometer scale) photoacoustic microscopic imaging system to continuously monitor early-stage tumor angiogenesis in the ear of mice and its response to anti-angiogenesis therapy. Further, a three-dimensional Hessian-matrix-based vascular extraction algorithm is proposed for the quantitative photoacoustic imaging of tumor vessels to improve the tumor vessel extraction accuracy. Subsequently, the morphological changes in various parameters, such as the diameter, density, and tortuosity, of the tumor vessels are quantitatively analyzed. Furthermore, the potential of high-resolution photoacoustic quantitative imaging to study the pathological mechanisms of tumors and other diseases characterized by vascular changes is demonstrated in this study.