论文标题
Hessian滤波器辅助全直径在最高一半（FDHM）分割和量化方法的光学声学显微镜
Hessian filter-assisted full diameter at half maximum (FDHM) segmentation and quantification method for optical-resolution photoacoustic microscopy
论文作者
论文摘要
光学声学显微镜已被验证为过去几十年来血管造影研究的高分辨率和高敏性成像方式。定量血管分析揭示了生理变化的关键信息，其中血管分割是关键步骤。在这项工作中，我们开发了一种Hessian滤波器辅助，自适应阈值的血管分割算法。它的性能通过数字幻影和体内图像来验证。在两项关于血压剂的血管反应的纵向研究中，进一步测试了其捕获微妙的血管变化的能力。将结果与广泛使用的Hessian滤波器方法进行了比较。在降压情况下，提出的方法检测到比Hessian滤清器方法的血管收缩大两倍。在抗高血压的情况下，提出的方法检测到血管舒张为18.8％，而Hessian滤波器方法的变化检测失败。所提出的算法可以纠正由常规分割方法引起的错误，并提高血管造影应用的定量准确性。
Optical-resolution photoacoustic microscopy has been validated as a high-resolution and high-sensitivity imaging modality for angiographic studies in the past decades. Quantitative vascular analysis reveals critical information of physiological changes, where vessel segmentation is the key step. In this work, we developed a Hessian filter-assisted, adaptive thresholding vessel segmentation algorithm. Its performance is validated by a digital phantom and in vivo images. Its capability of capturing subtle vessel changes is further tested in two longitudinal studies on vascular responses to blood pressure agents. The results are compared with the widely used Hessian filter method. In the antihypotensive case, the proposed method detected a twice larger vasoconstriction than the Hessian filter method. In the antihypertensive case, the proposed method detected a vasodilation of 18.8 %, while the Hessian filter method failed in change detection. The proposed algorithm could correct errors caused by conventional segmentation methods and improve quantitative accuracy for angiographic applications.
