Abstract:
This article deals with the problem of nonlinear filtering of magnetic resonance (MR) tomograms based on geometry-driven diffusion and speeding up the visualization of vo...Show MoreMetadata
Abstract:
This article deals with the problem of nonlinear filtering of magnetic resonance (MR) tomograms based on geometry-driven diffusion and speeding up the visualization of volumetric data by ray tracing. The authors present the basic motivation of this research, which was recently carried out in the Institute of Measurement Science. Locally adaptive diffusion conductivity, effective iteration stopping criterion, and fast ray tracing algorithms are discussed. Also, the results of computer experiments are described and the improvement of 3-D visualization is demonstrated.
Published in: IEEE Engineering in Medicine and Biology Magazine ( Volume: 17, Issue: 2, March-April 1998)
DOI: 10.1109/51.664034
References is not available for this document.
Select All
1.
B H McCormick, T A DeFanti and M. Brown, "Special issue on visualization in scientific computing", Comp Graph, vol. 21, no. 6, 1987.
2.
C Seebode, R Schubert and A Pommert, "An interactive 3D-atlas of acetabular fractures", Comp Assisted Radiol Proc. CAR93, pp. 716-721, 1993.
3.
K H Höhne, "A 3D anatomical atlas based on a volume model", IEEE Comp Graph and Appl, vol. 12, no. 4, pp. 72-78, 1992.
4.
R Acharya, R Wasserman, J Stevens and C Hinojosa, "Biomedical imaging modalities: A tutorial", Computerized Med Imaging and Graphics, vol. 19, no. 1, pp. 3-25, 1995.
5.
Volume Visualization, CA, Los Alamitos:IEEE Comp Soc Press, 1991.
6.
J Frahm, "Rapid scan techniques" in Magnetic Resonance Imaging, St. Louis:CV Mosby, pp. 165-204, 1992.
7.
W T Katz, "Segmentation of the brain from 3D magnetic resonance images of the head", Proc. of the SPIE, vol. 1898, pp. 809-819, 1993.
8.
M Joliot and B. Mazoyer, "Three-dimensional segmentation and interpolation of magnetic resonance brain images", IEEE Trans. On MI, vol. 12, no. 2, pp. 269-277, 1993.
9.
L P Clarke, "MRI segmentation: Methods and applications", Mag Res Imaging, vol. 13, no. 3, pp. 343-368, 1995.
10.
P Perona and J Malik, "Scale-space and edge detection using anisotropic diffusion", IEEE Trans. on ΡAMI, vol. 12, no. 7, pp. 629-639, 1990.
11.
Geometry-driven diffusion in computer vision, Dordrecht/Boston/London:Kluwer Academic Publishers, 1994.
12.
G Gerig, "Nonlinear anisotropic filtering of MRI data", IEEE Trans. MI, vol. 11, no. 2, pp. 221-232, 1992.
13.
V Witkovský and I Bajla, "Statistical criteria for 3D image solid segmentation within linear regression model", Machine Graphics and Vision, vol. 2, no. 4, pp. 339-355, 1993.
14.
I Bajla, M Marusiak and M Srámek, "Anisotropic Filtering of MRI Data Based upon Image Gradient Histogram" in Comp Analysis of Images and Patterns, Budapest:Springer-Verlag, pp. 90-97, 1993.
15.
I Bajla and M Srámek, "Improvement of 3D visualization of the brain using anisotropic diffusion smoothing of MR data", Proceedings of MEDINFO95 8th World Congress on Medical Informatics, pp. 683-686, 1995.
16.
I Bajia and M Srámek, "A modified approach and novel measure for evaluation of the image smoothing algorithm performance", J of Elect Eng, vol. 47, no. 3-4, pp. 93-101, 1996.
17.
I Bajla and M Srámtek, "Improvement of 3D visualization of the brain using anisotropic diffusion smoothing of MR data", Int J of Technology Management, 1997.
18.
I Bajla and I Holländer, "Geometry-driven diffusion smoothing of the MR-brain images using a novel variable conductance", Proc. of 18th Annual Int Conf of the IEEE Engineering in Medicine and Biology Society, no. 21, 1997.
19.
M Srámek, "Cubic macro-regions for fast voxel traversal", Machine Graphics and Vision, vol. 3, no. 1/2, pp. 171-179, 1994.
20.
M Srámek, "Fast surface rendering from raster data by voxel traversal using chessboard distance" in Visualization94, Washington, D.C.:IEEE Comp Soc Press, pp. 188-195, 1994.
21.
M Srámek, "Fast ray-tracing of rectilinear volume data" in Virtual Environments and Scientific Visualization96, New York:Springer-Verlag, pp. 201-210, 1996.
22.
M Srámek, Visualization of Volumetric Data by Ray Tracing, 1996, [online] Available: .
23.
J Bigün and H Granlund, "Optimal orientation detection of linear symmetry", Proc. of the First International Conference on Computer Vision, pp. 433-438, 1987.
24.
V Shrinivasan, "Image reconstruction by a hopfield neural network", Image and Vision Computing, vol. 11, no. 5, pp. 278-281, 1993.
25.
G Z Yang, "Structure adaptive anisotropic filtering", Image and Vision Computing, vol. 14, no. 2, pp. 135-145, 1996.
26.
R Yagel and Z Shi, "Accelerating volume animation by space-leaping" in Visualization 93, CA, San Jose:IEEE Comp Soc Press, pp. 62-84, 1993.
27.
M Levoy, "Display of surfaces from volume data", IEEE Comp Graph and Appl, vol. 8, no. 3, pp. 29-37, 1988.
28.
R A Drebin, L Carpenter and P Hanrahan, "Volume rendering", Comp Graph, vol. 22, no. 4, pp. 65-74, 1988.
29.
T Porter and T Duff, "Compositing digital images", Comp Graph, vol. 18, pp. 253-259, 1984.
30.
G Borgefors, "Distance transformations in digital images", Comp Vis Graph and Im Proc, vol. 34, no. 3, pp. 344-371, 1986.