DWT-based segmentation method for coronary arteries topical collection on systems-level quality improvement

Journal of Medical Systems

Volumn 38, Issue 6, 2014, Pages

  Chen, Shuo Tsung ^a,b   Hung, Pei Kai ^a   Lin, Muh Shi ^c,d   Huang, Chao Yu ^a   Chen, Chung Ming ^a   Wang, Tzung Dau ^e   Lee, Wen Jeng ^e  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^b TUNGHAI UNIVERSITY   (Taiwan)

^c TAIPEI CITY HOSPITAL   (Taiwan)

^d NATIONAL YANG MING UNIVERSITY   (Taiwan)

^e NATIONAL TAIWAN UNIVERSITY HOSPITAL   (Taiwan)

Author keywords

Automatically; Computed tomography angiography; Coronary arteries; Discrete wavelet transformation; Region growing; mean operation

Indexed keywords

ANALYTIC METHOD; ARTICLE; COMPUTED TOMOGRAPHIC ANGIOGRAPHY; CONTROLLED STUDY; CORONARY ARTERY; DISCRETE WAVELET TRANSFORMATION; IMAGE PROCESSING; IMAGING SOFTWARE; MEASUREMENT ACCURACY;

EID: 84904046958     PISSN: 01485598     EISSN: 1573689X     Source Type: Journal    
DOI: 10.1007/s10916-014-0055-8     Document Type: Article

References (23)

1. Mandal, I., and Sairam, N., Accurate Prediction of Coronary Artery Disease Using Reliable Diagnosis System. Journal of Medical Systems 36(5):3353-3373, October 2012.
2. Frangi, A. F., Niessen, W. J., Vincken, K. L., and Viergever, M. A., "Multiscale Vessel Enhancement Filtering", Proceeding International Conference on Medical Image Computing Computer-Assisted Intervention-MICCAI 1998. LNCS 1496:130-137, 1998. (Pubitemid 128152655)
3. Shikata, H., McLennan, G., Hoffman, E. A., and Sonka, M., Segmentation of Pulmonary Vascular Tree From Thoracic 3D CT Images. International Journal of Biomedical Imaging 2009(636240):11, 2009. doi: 10.1155/2009/636240.
4. Kirbas, C., and Quek, F., A Review of Vessel Extraction Techniques and Algorithms. ACM Comput. Surv. 36(2):81-121, 2004. (Pubitemid 43891429)
5. D. Nain, A. Yezzi, and G. Turk, "Vessel Segmentation Using a Driven Flow Shape", Proceeding International Conference on Medical Image Computing Computer-Assisted Intervention-MICCAI 2004, LNCS 3216, pp. 51-59, 2004 (Pubitemid 40787367)
6. Yang, Y., Tannenbaum, A., and Giddens, D., Knowledge-Based 3D Segmentation and Reconstruction of Coronary Arteries Using CT Images. IEEE Conference on Engineering in Medicine and Biology Society, Atlanta, 2004.
7. Chan, T. F., and Vese, L. A., Active Contours without Edges. IEEE Transactions on Image Processing 10:266-277, 2001. (Pubitemid 32254596)
8. Brox, T., and Weickert, J., Level Set Segmentation with Multiple Regions. IEEE Transactions on Image Processing 15(10):3213-3218, 2006. (Pubitemid 44473660)
9. Pratt, W. K., Digital Image Processing 4th Edition. Wiley, Los Altos, 2007.
10. th IEEE International Symposium on Biomedical Imaging (ISBI), pp.189-192, 2007 (Pubitemid 350141057)
11. Wang, L., He, L., Mishra, A., and Li, C., Active Contours Driven by Local Gaussian Distribution Fitting Energy. Journal of Signal Processing 89(12):2435-2447, 2009.
12. Manniesing, R., Schaap, M., Rozie, S., Hameeteman, R., Vukadinovic, D., Lugt, A. V. D., and Niessen, W., Robust CTA Lumen Segmentation of the Atherosclerotic Carotid Artery Bifurcation in a Large Patient Population. Medical Image Analysis 14(6):759-769, 2010.
13. Tek, H., Zheng, Y., Gulsun, M. A., and Funka-Lea, G., An Automatic System For Segmenting Coronary Arteries from CTA. Proceeding International Conference on Medical Image Computing Computer-Assisted Intervention-MICCAI-CVII 2011:47-54, 2011.
14. Won, J.-H., Rosenberg, J., Rubin, G. D., and Napel, S., Uncluttered single-image visualization of the abdominal aortic vessel tree: Method and evaluation. Medical Physics 36(11), 2009.
15. Kaiqiong, S., Zhen, C., Shaofeng, J., and Yu, W., Morphological Multiscale Enhancement, Fuzzy Filter and Watershed for Vascular Tree Extraction in Angiogram. Journal of Medical Systems 35(5):811-824, 2011.
16. Daubechies, I., Orthogonal Bases of Compactly Supported Wavelets. Communications on Pure and Applied Mathematics 41:909-996, 1988.
17. Mallat, S., A Theory for Multiresolution Signal Decomposition: the Wavelet Respresentation. IEEE Transactions on Pattern Analysis and Machine Intelligence 11:674-693, 1989.
18. Burrus, C. S., Gopinath, R. A., and Gao, H., Introduction to Wavelet Theory and Its Application. Prentice-Hall, New Jersey, 1998.
19. Pavlidis, T., and Liow, Y.-T., Integrating Region Growing and Edge Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 12:225-233, 1990. (Pubitemid 20677932)
20. User, M., Local Linear Transforms for Texture Measurements. Signal Processing 11(1):61-79, July, 1986.
21. Chang, T., and Jay Kuo, C.-C., Texture Analysis and Classification with Tree-Structured Wavelet Transform. IEEE Transactions on Image Processing 2(4):429-441, 1993.
22. Unser, M., Texture Classification and Segmentation Using Wavelet Frames. IEEE Transactions on Image Processing 4(11):1549-1560, 1995.
23. Wang, Z.-Z., and Yong, J.-H., Texture Analysis Classification and Segmentation with Linear Regression Model Based on Wavelet Transform. IEEE Transactions on Image Processing 17(8):1421-1430, 2008.