中文摘要：

针对心血管内超声（IVUS）图像中-外膜（media-adventitia）边缘检测中,硬斑块和声影等造成中-外膜边缘难以准确检测的问题,提出一种结合硬斑块特征的中-外膜边缘检测方法。首先,采用k均值聚类分割IVUS图像,根据图像中不同类型斑块的成像特点检测硬斑块位置;然后,计算IVUS图像方向梯度,结合斑块位置和图像灰度,获得代价矩阵;最后,利用启发式图搜索方法,实现IVUS图像的中-外膜边缘检测。对临床图像的实验结果表明,本方法能克服图像中声影和斑块干扰等问题,使检测正确率达到95.57%,提高了IVUS图像中-外膜边缘检测的准确性。

英文摘要：

This paper presents a new approach for the detection of media-adventitia border in intravascular ultrasound（IVUS） images,to overcome problems of hard plaque and acoustic shadow which make media-adventitia difficult to detect.The approach started with image classification using k-means algorithm,such that the region of hard plaques was delineated from the IVUS image.In a next step,a cost matrix was created by combining image gradient,hard plaque location and image intensity.A heuristic graph-searching was then applied to find the media-adventitia border from the cost matrix.Experiment results showed that the approach improved the accuracy of media-adventitia border detection by overcoming problems caused by acoustic shadow and hard plaque inhomogeneity,and the correct rate reached 95.57%.