An Approach for Segmentation of X-ray Angiographic Image Based on Region-growing and Structure Inferring_Journal of Biomedical Engineering

Authors：

MEIChuan ¹ , WUGuiliang ¹ , YANGYuan ² , XIELan ¹ , HEJiaju ¹ , LIShaolin ¹ ,  ZHOUShoujun ¹

1. Chinese PLA 458 Hospital, Guangzhou 510602, China;
2. The Health-office, PLA Sanitarium of Join Service Department, Eastern of Yanjiang A. V., Guangzhou 510110, China;

Corresponding author：

ZHOUShoujun, Email: shoujz@163.com

Keywords：

X-ray coronary angiography; vessel function; vessel segmentation; region-growing; vessel structure inferring

DOI：

10.7507/1001-5515.20140077

Video：

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We presented a new method for vessel segmentation and vascular structure recognition for coronary angiographic images. During vessel segmentation, a new vessel function was proposed to attain vessel feature map. Then the region growing algorithm was implemented with an automatic selection of seed point, extraction of main vessel branch, and vessel detail repairing. In the algorithm of vascular structure recognition, a fuzzy operator was used, which can detect the structures of vascular segments, bifurcations, crosses, and tips. The experimental results indicated that there was about 5 percent larger vessel region which was extracted by the proposed segmentation method than that by the simple region growing algorithm, and several thinner vessels were resumed from the lower gray region. The results also indicated that the fuzzy operator could correctly infer the simulative and real vessel structure with 100% and 90.59% correctness rate on the average, respectively.

Citation： MEIChuan, WUGuiliang, YANGYuan, XIELan, HEJiaju, LIShaolin, ZHOUShoujun. An Approach for Segmentation of X-ray Angiographic Image Based on Region-growing and Structure Inferring. Journal of Biomedical Engineering, 2014, 31(2): 413-420. doi: 10.7507/1001-5515.20140077 Copy

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1. KIRBAS C,QUEK F H.A review of vessel extraction techniques and algorithms[J].ACMComputing Surveys,2004,36(2):81-121.
2. LESAGE D,ANGELINI E D,BLOCH I,et al.A review of 3D vessel lumen segmentation techniques:models,features and extraction schemes[J].Med Image Anal,2009,13(6):819-845.
3. SCHAAP M,MANNIESING R,SMAL I et al.Bayesian tracking of tubular structures and its application to carotid arteries in CTA[C]//Proceedings of Medical Image Computing and Computer-Assisted Intervention.Heidelberg:Springer-Verlag Berlin,2007:562-570.
4. YIN Y M,ADEL M,BOURENNANE S.Retinal vessel segmentation using a probabilistic tracking method[J].Pattern Recognit,2012,45(4):1235-1244.
5. LI C,KAO C Y,GORE J C et al.Implicit active contours driven by local binary fitting energy[C]//IEEE Conference on Computer Vision and Pattern Recognition.Minneapolis,Minnesota,USA:2007:1-7.
6. SHANG Y,DEKLERCK R,NYSSEN E,et al.Vascular active contour for vessel tree segmentation[J].IEEE Trans Biomed Eng,2011,58(4):1023-1032.
7. BENMANSOUR F,COHEN L D,LAW M W K et al.Tubular anisotropy for 2D vessel segmentation[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Paris,France:2009,1-4:2286-2293.
8. PECHAUD M,KERIVEN R,AND PEYRE G.Extraction of tubular structures over an orientation domain[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Paris,France:2009,1-4:336-342.
9. LACOSTE C,FINET G,AND MAGNIN I E.Coronary tree extraction from X-ray angiograms using marked point processes[C]//Proceedings of 3rd IEEE International Symposium on Biomedical Imaging.Washington,USA:2006,1-3:157-160.
10. BOSKAMP D T,LINK F,KUMMERLEN B,et al.New vessel analysis tool for morphometric quantification and visualization of vessels in CT and MR imaging data sets1[J].Radiographics,2004,24(1):287-297.
11. QUEK F K,KIRBAS C.Vessel extraction in medical images by wave-propagation and traceback[J].IEEE Trans Med Imaging,2001,20(2):117-131.
12. FRANGI A F,NIESSEN W J,VINCKEN K L et al.Multiscale vessel enhancement filtering[C]//Medical Image Computing and Computer-Assisted Intervention,Cambridge MA,USA:1998,1496/1998:130-137.
13. MARTINEZ-PEREZ M E,HUGHES A D,THOM S A,et al.Segmentation of blood vessels from red-free and fluorescein retinal images[J].Med Image Anal,2007,11(1):47-61.
14. ZHOU S J,YANG J,WANG Y T,et al.Automatic segmentation of coronary angiograms based on fuzzy inferring and probabilistic tracking[J].Biomed Eng Online,2010,9:40.
15. OTSU N.A threshold selection method from gray-level histograms[J].IEEE Trans Syst Man Cybern,1979,9(1):62-66.

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