Tensor controlled local structure enhancement of CT images for bone segmentation

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

Volumn 1496, Issue , 1998, Pages 1205-1212

  Westin, C F ^a   Warfield, S ^a   Bhalerao, A ^a   Mui, L ^a   Richolt, J ^a   Kikinis, R ^a  

^a HARVARD MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BONE; COMPUTERIZED TOMOGRAPHY; IMAGE SEGMENTATION; MEDICAL COMPUTING; MEDICAL IMAGING;

BONE SEGMENTATION; CLINICAL PRACTICES; FILTERING TECHNIQUE; INTRAOPERATIVE NAVIGATION; PRECISE SEPARATIONS; ROBUST IDENTIFICATION; SEGMENTATION RESULTS; SURGICAL PLANNING;

IMAGE ENHANCEMENT;

EID: 84947707265     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0056310     Document Type: Conference Paper

References (11)

1. G. H. Granlund and H. Knutsson. Signal Processing for Computer Vision. Kluwer Academic Publishers, 1995. ISBN 0-7923-9530-1.
2. C-F Westin, A. Bhalerao, H. Knutsson, and R. Kikinis. Using local 3D structure for segmentation of bone from computer tomography images. In Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pages 794-800, Puerto Rico, June 1997.
3. H. Knutsson, R. Wilson, and G. H. Granlund. Anisotropic non-stationaxy image estimation and its applications-part I: Restoration of noisy images. IEEE Trans on Communications, COM-31(3):388-397, March 1983.
4. R. Wilson, H. Knutsson, and G. H. Granlund. Anisotropic non-stationary image estimation and its applications-part II: Predictive image coding. IEEE TYans on Communications, COM-31 (3), March 1983.
5. P. Perona and J. Malik. Scale spare and edge diffusion using anisotropic diffusion. IEEE Transactions on Pattern Analysis and Machine Intelligence, 12(7):629-639, July 1990.
6. G. Gerig, O. Kiibler, R. Kikinis, and F. Jolesz. Non-linear anisotropic filtering of MRI data. IEEE Transaction on Medical Imaging, 11(2):221-232, June 1992.
7. A. Kumar, A. Tannenbaum, and G. Balas. Optical flow: A curve evolution ap-proach. IEEE TYans. on Image Processing, 5(4):598-610, April 1996.
8. J. A. Sethian. Curvature and the evolution of fronts. Commun. Math. Phys., 1985.
9. J. A. Parker, R. V. Kenyon, and D. E. Troxel. Comparison of interpolation methods for image resampling. IEEE Transactions on Medical Imaging, 2(1), 1983.
10. C-H Lee. Restoring spline interpolation of CT images. IEEE Transactions on Medical Imaging, 2(3), 1983.
11. H. Knutsson. Representing local structure using tensors. In The 6th Scandinavian Conference on Image Analysis, pages 244-251, Oulu, Finland, June 1989.