Multiscale Bi-Gaussian filter for adjacent curvilinear structures detection with application to vasculature images

IEEE Transactions on Image Processing

Volumn 22, Issue 1, 2013, Pages 174-188

  Xiao, Changyan ^a   Staring, Marius ^b   Wang, Yaonan ^a   Shamonin, Denis P ^b   Stoel, Berend C ^b  

^a HUNAN UNIVERSITY   (China)

^b LEIDEN UNIVERSITY MEDICAL CENTER   (Netherlands)

Author keywords

Bi Gaussian kernel; curvilinear structure detection; feature extraction; multiscale filtering; vessel enhancement

Indexed keywords

BI-GAUSSIAN KERNEL; COMPARATIVE ANALYSIS; CONVENTIONAL FILTERS; CURVILINEAR STRUCTURES; DERIVATIVE FILTER; FILTERING KERNEL; GAUSSIAN KERNELS; GRAY-LEVEL; LINE FILTERS; MULTI-SCALE FILTERING; MULTISCALES; SCALE-SPACE; SHAPE ESTIMATION; SYNTHETIC AND REAL DATA; TYPICAL APPLICATION; UNIFORM FRAMEWORK; VASCULATURE; VESSEL ENHANCEMENT;

CALCIFICATION (BIOCHEMISTRY); FEATURE EXTRACTION; INTERFERENCE SUPPRESSION;

GAUSSIAN DISTRIBUTION;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; BLOOD VESSEL; HISTOLOGY; HUMAN; IMAGE PROCESSING; METHODOLOGY; RECEIVER OPERATING CHARACTERISTIC; REPRODUCIBILITY; THEORETICAL MODEL;

ALGORITHMS; BLOOD VESSELS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MODELS, BIOLOGICAL; MODELS, THEORETICAL; REPRODUCIBILITY OF RESULTS; ROC CURVE;

EID: 84871645911     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2012.2216277     Document Type: Article

References (40)

1. I. Sluimer, A. Schilham, M. Prokop, and B. V. Ginneken, "Computer analysis of computed tomography scans of the lung," IEEE Trans. Med. Imag., vol. 25, no. 4, pp. 385-405, Apr. 2006.
2. R. D. Young, R. J. Reed, and F. H. Crosdale, "Apparatus and method for counting sheets," E.P. Patent 0 743 616, Jun. 6, 1996.
3. D. Lesage, E. D. Angelini, I. Bloch, and G. Funka-Lea, "A review of 3D vessel lumen segmentation techniques: Model, features and extraction schemes," Med. Image Anal., vol. 13, no. 6, pp. 819-845, 2009.
4. T. M. Koller, G. Gerig, G. Szekely, and D. Dettwiler, "Multiscale detection of curvilinear structures in 2-D and 3-D image data," in Proc. 5th Int. Comput. Vis. Conf., 1995, pp. 864-869.
5. G. Agam, S. G. I. Armato, and C. Wu, "Vessel tree reconstruction in thoracic CT scans with application to nodule detection," IEEE Trans. Med. Imag., vol. 24, no. 4, pp. 486-499, Apr. 2005. (Pubitemid 40538206)
6. C. Lorenz, I. C. Carlsen, T. M. Buzug, C. Fassnacht, and J. Weese, "Multiscale line segmentation with automatic estimation of width, contrast and tangential direction in 2D and 3D medical images," in Proc. 1st Joint Conf. Comput. Vis. Virtual Rel. Robot. Med. Medial Robot. Comput.-Assist. Sur., 1997, pp. 233-242. (Pubitemid 127045556)
7. Y. Sato, S. Nakajima, N. Shiraga, H. Atsumi, S. Yoshida, T. Koller, G. Gerig, and R. Kikinis, "Three-dimensional multiscale line filter for segmentation and visualization of curvilinear structures in medical images," Med. Image Anal., vol. 2, no. 2, pp. 143-168, 1998. (Pubitemid 128501135)
8. A. F. Frangi, W. J. Niessen, K. L. Vincken, and M. A. Viergever, "Multiscale vessel enhancement filtering," in Proc. Med. Image Comput. Comput.-Assist. Interv., 1998, pp. 130-137. (Pubitemid 128152655)
9. S. M. Pizer, D. Eberly, D. S. Fritsch, and B. S. Morse, "Zoom-invariant vision of figural shape: The mathematics of cores," Comput. Vis. Image Understand., vol. 69, no. 1, pp. 55-71, 1998. (Pubitemid 128425945)
10. K. Krissian, G. Malandain, N. Ayache, R. Vaillant, and Y. Trousset, "Model-based detection of tubular structures in 3D images," Comput. Vis. Image Understand., vol. 80, no. 2, pp. 130-171, 2000. (Pubitemid 32021582)
11. T. Lindeberg, "Feature detecion with automatic scale selecion," Int. J. Comput. Vis., vol. 30, no. 2, pp. 79-116, 1998. (Pubitemid 128517917)
12. M. J. McAuliffe, D. Eberly, D. S. Fritsch, E. L. Chaney, and S. M. Pizer, "Scale-space boundary evolution initialized by cores," in Proc. 4th Int. Conf. Vis. Biomed. Comput., 1996, pp. 173-182. (Pubitemid 126133695)
13. T. Pock, R. Beichel, and H. Bischof, "A novel robust tube detection filter for 3D centerline extraction," in Proc. 14th Scandin. Conf. Image Anal., 2005, pp. 481-490. (Pubitemid 41422690)
14. C. Bauer, T. Pock, E. Sorantin, H. Biscof, and R. Beichel, "Segmentation of interwoven 3D tubular tree structures utilizing shape priors and graph cuts," Med. Image Anal., vol. 14, no. 2, pp. 172-184, 2010.
15. P. Perona and J. Malik, "Scale-space and edge detection using anisotropic diffusion," IEEE Trans. Pattern Anal. Mach. Intell., vol. 12, no. 7, pp. 629-639, Jul. 1990. (Pubitemid 20726016)
16. J. Weickert, "A review of nonlinear diffusion filtering," in Proc. Scale-Space Theory Comput. Vis. Conf., 1997, pp. 3-28.
17. C. Bauer and H. Bischof, "A novel approach for detection of tubular objects and its application to medical image analysis," in Proc. Symp. Pattern Recognit. Conf., 2008, pp. 163-173.
18. C. Xu and J. L. Prince, "Snakes, shapes, and gradient vector flow," IEEE Trans. Image Process., vol. 7, no. 3, pp. 359-369, Mar. 1998. (Pubitemid 128745354)
19. A. Vasilevskiy and K. Siddiqi, "Flux maximizing geometric flows," IEEE Trans. Pattern Anal. Mach. Intell., vol. 24, no. 12, pp. 1565-1578, Dec. 2002.
20. M. W. Law and A. C. Chung, "Three dimensional curvilinear structure detection using optimally oriented flux," in Proc. Eur. Conf. Comput. Vis., 2008, pp. 368-382.
21. M. W. Law and A. C. S. Chung, "An oriented flux symmetry based active contour model for three dimensional vessel segmentation," in Proc. Comput. Sci. Vis. Conf., 2010, pp. 720-734.
22. F. Benmansour and L. D. Cohen, "Tubular structure segmentation based on minimal path method and anisotropic enhancement," Int. J. Comput. Vis., vol. 92, no. 2, pp. 192-210, 2011.
23. H. Knutsson and C.-F. Westin, "Normalized and differential convolution: Methods for interpolation and filtering of incomplete and uncertain data," in Proc. Comput. Vis. Pattern Recognit. Conf., 1993, pp. 515-523.
24. A. Witkin, "Scale space filtering," in Proc. Int. Joint Conf. Artif. Intell., 1983, pp. 1019-1023.
25. J. J. Koenderink, "The structure of images," Biol. Cybern., vol. 50, no. 5, pp. 363-370, 1984. (Pubitemid 14070727)
26. D. S. Fritsch, S. M. Pizer, B. S. Morse, D. H. Eberly, and A. Liu, "The multiscale medial axis and its applications in image registration," Pattern Recognit. Lett., vol. 15, no. 5, pp. 445-452, 1994.
27. R. Estrada, C. Tomasi, M. Cabrera, D. Wallace, S. Freedman, and S. Far-siu, "Exploratory Dijkstra forest based automatic vessel segmentation: Applications in video indirect ophthalmoscopy (VIO)," Biomed. Opt. Exp., vol. 3, no. 2, pp. 327-339, 2012.
28. T. Lindeberg, "Scale-space for discrete signals," IEEE Trans. Pattern Anal. Mach. Intell., vol. 12, no. 3, pp. 234-254, Mar. 1990. (Pubitemid 20677933)
29. L. M. Florack, B. M. Romeny, J. J. Koenderink, and M. A. Viergever, "Scale and the differential structure of images," Image Vis. Comput., vol. 10, no. 6, pp. 376-388, 1992.
30. E. J. Pauwels, L. J. Gool, P. Fiddenlaers, and T. Moons, "An extended class of scale-invariant and recursive scale space filters," IEEE Trans. Pattern Anal. Mach. Intell., vol. 17, no. 7, pp. 691-701, Jul. 1995.
31. Q. Lin, "Enhancement, extraction, and visualization of 3D volume data," Ph.D. dissertation, Dept. Electr. Eng., Linkoping Univ., Linkoping, Sweden, 2003.
32. A. K. Jain, Fundamentals of Digital Image Processing. Upper Saddle River, NJ: Prentice-Hall, 1989.
33. C. Xiao, M. Staring, D. P. Shamonin, J. H. C. Reiber, J. Stolk, and B. C. Stoel, "A strain energy filter for 3D vessel enhancement with application to pulmonary CT images," Med. Image Anal., vol. 15, no. 1, pp. 112-124, 2011.
34. M. W. Law and A. C. Chung, "Efficient implementation for spherical flux computation and its application to vascular segmentation," IEEE Trans. Image Process., vol. 18, no. 3, pp. 596-612, Mar. 2009.
35. B. M. Westling and G. T. Nilsson, "Apparatus for counting sheets lying on each other in a stack," E.P. Patent 9 100 014, Jul. 25, 1991.
36. P. Du, W. Kibbe, and S. Lin, "Improved peak detection in mass spectrum by incorporating continuous wavelet transform-based pattern matching," Bioinformatics, vol. 22, no. 17, pp. 2059-2065, 2006. (Pubitemid 44390894)
37. E. Bullitt, D. Zeng, G. Gerig, S. Aylward, S. Joshi, J. K. Smith, W. Lin, and M. G. Ewend, "Vessel tortuosity and brain tumor malignancy: A blinded study," Acad. Radiol., vol. 12, no. 10, pp. 1232-1240, 2005. (Pubitemid 41354249)
38. K. Krissian, R. Kikinis, and C. Westin, "Algorithms for extracting vessel centerlines," Dept. Radiol., Harvard Medial School, Boston, MA, Tech. Rep. 0003, Sep. 2004.
39. I. Bitter, R. V. Uitert, I. Wolf, L. Ibanez, and J. M. Kuhnigk, "Comparison of four freely available frameworks for image processing and visualization that use ITK," IEEE Trans. Vis. Comput. Graph., vol. 13, no. 3, pp. 483-493, May 2007. (Pubitemid 46479766)
40. T. Lindeberg, "Edge detection and ridge detection with automatic scale selection," Int. J. Comput. Vis., vol. 30, no. 2, pp. 117-154, 1998. (Pubitemid 128517918)