Software College, Northeastern University, Shenyang, Liaoning 110819, China ; Key Laboratory of Medical Image Computing of Ministry of Education, Shenyang, Liaoning 110819, China.
Comput Math Methods Med. 2013;2013:743870. doi: 10.1155/2013/743870. Epub 2013 Nov 13.
We propose a region growing vessel segmentation algorithm based on spectrum information. First, the algorithm does Fourier transform on the region of interest containing vascular structures to obtain its spectrum information, according to which its primary feature direction will be extracted. Then combined edge information with primary feature direction computes the vascular structure's center points as the seed points of region growing segmentation. At last, the improved region growing method with branch-based growth strategy is used to segment the vessels. To prove the effectiveness of our algorithm, we use the retinal and abdomen liver vascular CT images to do experiments. The results show that the proposed vessel segmentation algorithm can not only extract the high quality target vessel region, but also can effectively reduce the manual intervention.
我们提出了一种基于谱信息的区域生长血管分割算法。首先，该算法对包含血管结构的感兴趣区域进行傅里叶变换，以获得其谱信息，并根据谱信息提取主要特征方向。然后，结合边缘信息和主要特征方向，计算血管结构的中心点作为区域生长分割的种子点。最后，采用基于分支的生长策略的改进区域生长方法对血管进行分割。为了验证算法的有效性，我们使用视网膜和腹部肝脏血管 CT 图像进行了实验。结果表明，所提出的血管分割算法不仅可以提取高质量的目标血管区域，而且可以有效地减少人工干预。
