Vessel enhancing diffusion. A scale space representation of vessel structures

Medical Image Analysis

Volumn 10, Issue 6, 2006, Pages 815-825

  Manniesing, Rashindra ^a   Viergever, Max A ^a   Niessen, Wiro J ^b  

^a UNIVERSITY MEDICAL CENTER UTRECHT   (Netherlands)

^b ERASMUS MEDICAL CENTER   (Netherlands)

Author keywords

Computed tomography angiography (CTA); Non linear anisotropic diffusion; Scale space; Vessel enhancing diffusion (VED)

Indexed keywords

ANGIOGRAPHY; ANISOTROPY; COMPUTERIZED TOMOGRAPHY; DIFFUSION;

CEREBRAL VASCULATURE; NON-LINEAR ANISOTROPIC DIFFUSION; SCALE SPACE THEORY; VESSEL ENHANCING DIFFUSION;

BLOOD VESSELS;

ACCURACY; ANISOTROPY; ARTICLE; BRAIN BLOOD VESSEL; BRAIN CIRCULUS ARTERIOSUS; COMPUTER ASSISTED TOMOGRAPHY; DIFFUSION TENSOR IMAGING; ENTROPY; FILTER; GEOMETRY; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE QUALITY; LINEAR SYSTEM; MATHEMATICAL COMPUTING; NONLINEAR SYSTEM; NORMAL DISTRIBUTION; PHANTOM; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; RADIOLOGICAL PARAMETERS; SIGNAL NOISE RATIO; THEORY; THREE DIMENSIONAL IMAGING;

ANISOTROPY; CEREBRAL ANGIOGRAPHY; CEREBROVASCULAR CIRCULATION; DIFFUSION; FILTRATION; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MODELS, ANATOMIC; NONLINEAR DYNAMICS; PHANTOMS, IMAGING; TOMOGRAPHY, X-RAY COMPUTED;

EID: 33751340566     PISSN: 13618415     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.media.2006.06.003     Document Type: Article

References (25)

1. Bland J., and Altman D. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet (1986) 307-310
2. Cañero C., and Radeva P. Vesselness enhancement diffusion. Pattern Recognition Letters 24 (2003) 3141-3151
3. Catté F., Lions P.-L., Morel J.-M., and Coll T. Image selective smoothing and edge detection by nonlinear diffusion. SIAM Journal of Numerical Analysis 29 1 (1992) 182-193
4. Fahrig R., Nikolov H., Fox A., and Holdsworth D. A three dimensional cerebrovascular flow phantom. Medical Physics 8 26 (1999) 1589-1599
5. Frangi, A., Niessen, W., Vincken, K., Viergever, M., 1998. Multiscale vessel enhancement filtering. In: Medical Image Computing and Computer-Assisted Intervention, pp. 130-137.
6. Koller, T., Gerig, G., Székely, G., Dettwiler, D., 1995. Multiscale detection of curvilinear structures in 2d and 3d image data. In: International Conference on Computer Vision, pp. 864-869.
7. Krissian K. Flux-based anisotropic diffusion applied to enhancement of 3-D angiogram. IEEE Transaction on Medical Imaging 21 11 (2002) 1440-1442
8. Krissian K., Malandain G., Ayache N., Vaillant R., and Trousset Y. Model-based detection of tubular structures in 3D images. Computer Vision and Image Understanding 80 2 (2000) 130-171
9. Lindeberg T. Edge detection and ridge detection with automatic scale selection. International Journal of Computer Vision 30 2 (1998) 117-154
10. Lorenz, C., Carlsen, I.-C., Buzug, T., Fassnacht, C., Weese, J., 1997. Multi-scale line segmentation with automatic estimation of width, contrast and tangential direction in 2d and 3d medical images. In: Computer Vision, Virtual Reality and Robotics in Medicine, pp. 233-242.
11. Manniesing, R., Niessen, W., 2005. Multiscale vessel enhancing diffusion in CT angiography noise filtering. In: Christensen, G., Sonka, M. (Eds.), Information Processing in Medical Imaging, vol. 3565, pp. 138-149.
12. Manniesing R., Velthuis B., van Leeuwen M., van der Schaaf I., van Laar P., and Niessen W. Level set based cerebral vasculature segmentation and diameter quantification in CT angiography. Medical Image Analysis 10 2 (2006) 200-214
13. Niessen W., Vincken K., Weickert J., and Viergever M. Nonlinear multiscale representations for image segmentation. Computer Vision and Image Understanding 66 2 (1997) 233-245
14. Osher S., and Sethian J. Fronts propagation with curvature dependent speed: Algorithms based on Hamilton-Jacobi formulations. Journal of Computational Physics 79 1 (1988) 12-49
15. Perona P., and Malik J. Scale-space and edge detection using anisotropic diffusion. IEEE Transactions on Pattern Analysis and Machine Intelligence 12 7 (1990) 629-639
16. Sato Y., Nakajima S., Shiraga N., Atsumi H., Yoshida S., Koller T., Gerig G., and Kikinis R. Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images. Medical Image Analysis 2 2 (1998) 143-168
17. Sethian J. Level Set Methods and Fast Marching Methods. second ed. (1999), Cambridge University Press, Cambridge
18. Shannon, C., 1948. A mathematical theory of communication. Bell System Technical Journal 27, 379-423/623-656.
19. Sporring, J., 1996. The entropy of scale-space. In: International Conference on Pattern Recognition, pp. 900-904.
20. In: ter Haar Romeny B. (Ed). Geometry-Driven Diffusion in Computer Vision vol. 1 (1994), Kluwer Academic Publishers, Dordrecht, The Netherlands
21. Venema H., Hulsmans F., and den Heeten G. CT angiography of the Circle of Willis and intracranial internal carotid arteries: Maximum intensity projection with matched mask bone elimination - feasibility study. Radiology 218 3 (2001) 893-898
22. Weickert, J., 1996a. Anisotropic diffusion in image processing. Ph.D. thesis, University of Kaiserslautern.
23. Weickert, J., 1996b. Theoretical foundations of anisotropic diffusion in image processing. In: Theoretical Foundations of Computer Vision, pp. 221-236.
24. Weickert J. A review of nonlinear diffusion filtering. In: ter Haar Romeny B., Florack L., Koenderink J., and Viergever M. (Eds). Scale-Space Theory in Computer Vision. Lecture Notes in Computer Science vol. 1252 (1997), Springer, Berlin 3-28
25. Weickert J. Coherence-enhancing diffusion filtering. International Journal of Computer Vision 31 (1999) 111-127