冠状动脉血管造影图像三维分割方法

Three-dimensional segmentation method for coronary angiographic image

冠状动脉计算机断层扫描血管造影技术已广泛应用于心血管疾病的诊断,冠状动脉的有效分割在冠心病诊断中起着重要的作用。本文提出一种冠状动脉血管造影图像三维分割方法,首先进行数据预处理;然后,利用分水岭算法得到子区域;最后,利用区域生长方法将分水岭子区域合并,实现冠状动脉的三维分割。本文以放射科医生手动标注结果作为标准,验证提出算法的可行性和有效性。实验结果表明,本文提出的分割方法能够有效克服冠状动脉周围组织的干扰,从而取得精确的分割结果。

At present,coronary computed tomography angiography has been widely used in the diagnosis of cardiovascular diseases,and the effective segmentation of coronary arteries plays an important role in the diagnosis of coronary heart diseases.Herein a three-dimensional segmentation method for coronary angiographic images is proposed.After data preprocessing,watershed algorithm is used to obtain sub-regions,and regional growth method is used to merge the subregions for realizing three-dimensional segmentation of coronary arteries.The manual segmentation results obtained by radiologists are used as the standard to verify the feasibility and effectiveness of the proposed algorithm.The experimental results show that the proposed segmentation method can effectively overcome the interference from the tissues around the coronary arteries and obtain accurate segmentation results.