Statistical-based approach for extracting 3D blood vessels from TOF-MyRA data

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2878, Issue , 2003, Pages 680-687

  Hassouna, M Sabry ^a   Farag, Aly A ^a   Hushek, Stephen ^a   Moriarty, Thomas ^b  

^a University of Louisville   (United States)

^b University of Louisville School of Medicine   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

3D CEREBROVASCULAR SYSTEM; GEOMETRICAL PHANTOM; STROKE; VESSEL VOXELS;

ALGORITHMS; BLOOD; DATA REDUCTION; IMAGE SEGMENTATION; OPTIMIZATION; RESONANCE; STATISTICAL METHODS; TISSUE;

MEDICAL IMAGING;

EID: 11244255343     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-39899-8_83     Document Type: Article

References (14)

1. Potchen, J. E. et al. Magnetic Resonance Angiography: Concepts and Applications. St. Louis, MO; Mosby, 1993.
2. P. Reuzé, et al., "A 3-D moment based approach for blood vessel detection and quantification in MRA," Technol. Health Care 1, 1993, 181-188.
3. M. Hemandez-Hoyos et al., "Inertia based vessel axis extraction and stenosis quantification in 3D MRA images," CARS, 1999, 180-193.
4. B. Verdonck et al., "A New System for Blood Vessel Segmentation and Visualization in 3D MR and Spiral CT Angiography,". CARS, 1995, 177-182.
5. Y. Sato et al., "Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images,". Medical Image Analysis, 2(2), 1998, 143-168.
6. N. Flasque et al., "Acquisition, segmentation and tracking of the cerebral vascular tree on 3D magnetic resonance angiography images," Med. Image Anal., Vo. 5, No. 3, 2001, 173-183.
7. L.M. Lorigo et al., "Co-dimension 2 geodesic active Contours for MRA segmentation,". In: Kuba, A. (Ed.), Proc. Int. Conf. on Information Processing in Med. Imaging, 1999, 126-139.
8. C. F. Westin, and L. M. Lorigo et al., "Segmentation by adaptive geodesic active contours,". In: Delp, S.L. (Ed.), Proc. MICCAI, 2000, 266-275.
9. D. Wilson, and J. Noble, "An adaptive segmentation algorithm for time-of-flight MRA data,". IEEE Trans. Med. Imaging 18 (10), 1999, 938-945.
10. Albert C. S. Chung, and J .Noble, "Statistical 3D Vessel Segmentation Using a Rician Distribution,". MICCAI 1999, 82-89.
11. Mohamed Sabry, A. A. Farag, S. Hushek, and T. Moriarty, "Statistical Cerebrovascular Segmentation for Phase-Contrast MRA Data," Annual Conference on Biomedical Engineering, 2002, pp. 32-37, Egypt.
12. Albert C. S. Chung et al., "Fusing speed and phase information for vascular segmentation of phase contrast MR angiograms," Medical Image Analysis, 2002, Vol. 6, No. 2, 109-128.
13. A. P. Dempster, N. M. Laird, and D. B. Rubin, "Maximum likelihood from incomplete data via the EM algorithm," J. R. Statist. Soc. B, vol. B39, no. 1, 1977, pp. 1-38.
14. Geoffrey J. MacLachlan, and Thriyambakam Krishnan, The EM Algorithm and Extensions, Wiley Series in Probability and Statistics, John Wiley and Sons, 1997.