Frangi’s Vessel Detection Approach for Coronary Angiogram Segmentation
 |
International Journal of Engineering Trends and Technology (IJETT) |  |
| © 2014 by IJETT Journal | ||
| Volume-13 Number-5 |
||
| Year of Publication : 2014 | ||
| Authors : Geethu Sasidharan , Angitha George |
||
 10.14445/22315381/IJETT-V13P245 |
Citation
Geethu Sasidharan , Angitha George. "Frangi’s Vessel Detection Approach for Coronary Angiogram Segmentation", International Journal of Engineering Trends and Technology (IJETT), V13(5),213-217 July 2014. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
Now a day, cardiovascular disease is a serious problem to human health. For better clinical assessment of vascular diseases, the extraction and segmentation of coronary artery from X-ray angiographic images is very important. In this paper, a simple and powerful method for coronary artery segmentation from X-ray angiogram is proposed. This Method combines Noise Adaptive Fuzzy Switching Median (NAFSM) filter, Frangi’s vessel detection and Region Growing. This method uses Noise Adaptive Fuzzy Switching Median filter to enhance angiographic images. Frangi’s vessel detection helps to detect vessels in coronary angiogram. The region-growing algorithm is used to segment detected coronary artery tree. The proposed method is robust to noise in angiograms. This method can successfully extract almost all distant, overlapped and smaller vessels of the coronary artery tree.
References
[1] A Segmentation method of Coronary Angiograms based on Multi-scale Filtering and Region Growing , Shan Wang, Bonian Li, and Shoujun Zhou, 2012 International Conference on Biomedical Engineering and Biotechnology, 978-0-7695-4706-0/12 $26.00 © 2012 IEEE DOI 10.1109/iCBEB.2012.39.
[2] Noise-removing Algorithm for Fluorescein Angiogram of Diabetic Retinopathy, Zhang Jie and Li Shi-Yun, 2011 4th International Conference on Biomedical Engineering and Informatics (BMEI), 978-1-4244-9352-4/11/$26.00 ©2011 IEEE.
[3] Noise Adaptive Fuzzy Switching Median Filter for salt-and pepper noise reduction, Kenny Kal Vin Toh and Nor Ashidi Mat Isa, IEEE Signal Processing. Letters, vol. 17, pp. 281-284, March 2010.
[4] Segmentation of Pulmonary Nodules in Thoracic CT Scans: A Region Growing Approach, Jamshid Dehmeshki, Hamdan Amin, Manlio Valdivieso, and Xujiong Ye, IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 27, NO. 4, APRIL 2008.
[5] Alejandro F. Frangi,Wiro J.Niessen, et al. “Multiscale vessel enhancement filtering,” Medical Image Computing and computer-Assisted Intervation-MICCAI’98. 1998,1496:130:137.
[6] Digital image processing, third edition, Rafael C Gonzales and Richard E Woods.
[7] 3D frangi-based lung vessel enhancement filter penalizing airways, Daniel Jimenez-Carretero, Andres Santos, Sjoerd Kerkstra, Rina Dewi Rudyanto, Maria J. Ledesma-Carbayo, 978-1-4673-6455-3/13/$31.00 ©2013 IEEE.
[8] Koller T. M., Gerig G., Szekely G., et al. “Multiscale detction of curvilinear structures in 2-D and 3-D image”, IEEE Trans. computer vision 1995, pp:864:869 .
[9] Schrijver M. , Slump CH. “Automatic segmentation of the coronary artery tree in angiographic rejections”,Proceedings of Pro-RISC,2002,28-29.
[10] Shoujun Z, Jun Y, WuFan C et al. “New approach to the automatic segmentation of coronary artery in X-ray angiograms”. Science in China Series :Information Sciences.2008,51(1):28-39.
[11] S.M.Pizer, E.O.P.Amburn and J.D.Austin, “Adaptive histogram equalization and its variation,” Comput Vision Graphics Image Process,vol.39 ,pp.355-368,1997
[12] Blondel C, Malandain G, Vaillant R, et al. “Reconstruction of coronary arteries from one rotational X-ray projection sequence.Institut National De recherche En Informatique Et En Automatique. 2004
[13] Yan X, Guangshu H, Lihua S, “Adaptive tracking extraction of vessel centerlines in coronary arteriograms using Hessian matrix”,J Tsinghua Univ, vol.47, No.6, 2007, pp:889-992 .
Keywords
Coronary angiograms, NAFSM filter, Frangi’s vessel detection, Region growing.