心血管造影图像的分割与诊断  

Segmentation and Diagnosis of Angiocardiography Image

作　　者：庄宇 陈光彪 付庄[1] ZHUANG Yu;CHEN Guangbiao;FU Zhuang(State Key Lab of Mechanical System and Vibration,Shanghai 200240,China)

机构地区：[1]上海交通大学机械系统与振动国家重点实验室,上海200240

出　　处：《机械与电子》2018年第4期16-19,37,共5页Machinery & Electronics

基　　金：上海市科学技术委员会研究项目(17441901000);国家自然科学基金资助项目(61473192;61075086);国家自然科学基金委员会(NSFC)-广东省人民政府自然科学联合基金(U1401240);国家重点基础研究发展计划项目(2014CB046302)

摘　　要：针对心血管造影图像,提出了一种新的血管分割方法,并实现了血管狭窄位置的自动诊断。血管分割中提出了基于Hessian矩阵多尺度增强的新血管函数,在增强的特征图上采用了种子点的自动化选取和双阶段区域增长的分割方法提取了血管轮廓。在此基础上进行了血管骨架提取,骨架点搜索和直径测量,实现了全自动的狭窄诊断。实验结果表明,新的血管分割方法能够提取出较精准的主分支轮廓,对细小血管也有良好的增强和分割效果,血管狭窄的自动诊断,计算速度快,诊断结果较准确,能够对医生的最终判断提供辅助参考和量化依据。A new method of vessel segmentation and automatic diagnosis in angiocardiography image processing was proposed.During vessel segmentation,a new vessel function based on Hessian matrix was put forward.Then the vessel contour was extracted by the dual stage region growing with automatic selection of seed point.Next,the automatic diagnosis was realized by vessel skeleton extraction,skeleton point search and diameter measurement.The experimental results indicate that the new method of vessel segmentation can extract the main branch contour accurately and have a good effect on the enhancement and segmentation of small vessels.The automatic diagnosis of vascular stenosis is fast,and with a relatively accurate diagnosis result,it can provide a good reference and quantitative basis for the final judgment of the doctor.

关 键 词：造影图像 血管分割 自动诊断 

分 类 号：TP39141[自动化与计算机技术—计算机应用技术]