消化道肿瘤是最常见的肿瘤疾病之一。新兴的光声成像技术可以敏锐地捕捉肿瘤周围滋养血管的信息,有助于临床进行更精准的诊断。匹配的血管增强算法可以有效突出图像中的血管网络,但光声活体内窥成像的探测角度有限,易造成明显的血管形态异常,现有方法很难实现有效的血管增强。采用自研的光声内窥系统对大鼠直肠进行活体成像,针对活体成像结果提出了一种融合结构和强度两个层面信息的三维血管增强算法,并采用该算法对结直肠血管图像进行了增强。结果表明:所提算法可以有效提升增强效果,抑制机械抖动带来的边缘毛刺,在活体状态下获取了高质量的结直肠三维血管图像,说明其在基础医学研究和临床应用中具有一定的潜在价值。

Gastrointestinal tumors are one of the most common types of tumors. Emerging photoacoustic imaging technology can sharply capture the information of the nourishing blood vessels surrounding the tumors, which may give potential contributions to accurate clinical diagnosis. The matched vessel enhancement algorithm can effectively highlight the vessel network. However, the detection angle of in vivo photoacoustic endoscopic imaging is limited, which results in obvious vascular structure abnormalities. It is difficult for current enhancement algorithms to effectively enhance blood vessels. Therefore, a three-dimensional vascular enhancement algorithm was developed in this investigation that fuses the information on structure and intensity of the colorectal vessel of rats, based on a self-designed endoscopic photoacoustic imaging system. The results indicate that this algorithm can effectively improve the imaging effect, suppress edge burrs brought about by mechanical vibration, and obtain in vivo high-quality three-dimensional images of the colorectal vessel, indicating that it has potential value in basic medical research and clinical applications.