title: A region growing vessel segmentation algorithm based on spectrum information.
abstract: 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.
authors: Software College, Northeastern University, Shenyang, Liaoning 110819, China ; Key Laboratory of Medical Image Computing of Ministry of Education, Shenyang, Liaoning 110819, China.
authors: Huiyan
authors: H
authors: Jiang
authors: Baochun
authors: B
authors: He
authors: Di
authors: D
authors: Fang
authors: Zhiyuan
authors: Z
authors: Ma
authors: Benqiang
authors: B
authors: Yang
authors: Libo
authors: L
authors: Zhang
mesh_terms: D000465:Algorithms; D001808:Blood Vessels / Q000033:anatomy & histology*; D003198:Computer Simulation; D005583:Fourier Analysis; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000706:statistics & numerical data; D008099:Liver / Q000098:blood supply / Q000000981:diagnostic imaging; D008953:Models, Anatomic; D008955:Models, Cardiovascular; D012171:Retinal Vessels / Q000033:anatomy & histology; D014057:Tomography, X-Ray Computed / Q000706:statistics & numerical data