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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  2/2012 - 7

A Fast Method for the Alignment of the Displacement of Voxel Data

SPELIC, D. See more information about SPELIC, D. on SCOPUS See more information about SPELIC, D. on IEEExplore See more information about SPELIC, D. on Web of Science, NOVAK, F. See more information about  NOVAK, F. on SCOPUS See more information about  NOVAK, F. on SCOPUS See more information about NOVAK, F. on Web of Science, ZALIK, B. See more information about ZALIK, B. on SCOPUS See more information about ZALIK, B. on SCOPUS See more information about ZALIK, B. on Web of Science
 
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (817 KB) | Citation | Downloads: 494 | Views: 2,973

Author keywords
data preprocessing, image matching, matching pursuit algorithm, optimal matching, biomedical image processing

References keywords
data(10), visualization(7), analysis(5), voxel(4), image(4), graphics(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2012-05-30
Volume 12, Issue 2, Year 2012, On page(s): 41 - 46
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2012.02007
Web of Science Accession Number: 000305608000007
SCOPUS ID: 84865304740

Abstract
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Full text preview
A fast algorithm for the alignment of the displacement of voxel data is presented. In contrast to the existing solutions, the proposed algorithm achieves a less accurate alignment, but in a much shorter time. The algorithm consists of two parts: a translation and a rotation. While the translation part of the alignment process is error free, the rotation part introduces a small inherent error due to the finite arithmetic and discretization. Experimental results based on three datasets are presented.


References | Cited By  «-- Click to see who has cited this paper

[1] B. Benes and R. Forsbach, "Layered Data Representation for Visual Simulation of Terrain Erosion," Proceedings of the 17th Spring conference on Computer graphics, 2001, pp. 80-86.
[CrossRef] [SCOPUS Times Cited 68]


[2] J. Stoker, "Volumetric Visualization of Multiple-return Lidar Data: Using Voxels," Photogrammetric Engineering & Remote Sensing; 2009, pp. 109-112.

[3] T. Shinohara, J. Takayama, S. Ohyama and A. Kobayashi, "Analysis of Knit Fabric Structure with its Voxel Data," ICCAS2003, Gyeongju, KOREA, 2003.

[4] S. Venkataraman and K. O. Asante, "Voxel-Based Analysis and Visualization of Rainfall Data," Global Priorities in Land Remote Sensing, 2005.

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[8] G. Dougherty, "Digital Image Processing for Medical Applications," New York: United States of America by Cambridge University Press, 2009.

[9] B. Li, Z. Wang, E. Smouha, D. Chen and Z. Liang, "Accelerating Virtual Surgery Simulation for Congenital Aural Atresia," Proceedings of SPIE Vol. 5367, Bellingham, 2004
[CrossRef] [Web of Science Record] [SCOPUS Times Cited 2]


[10] F. Dong, G.J.Clapworthy, M. Krokos, "Volume rendering of fine details within medical data", Proceedings of the conference on Visualization, 2001, pp. 387-394.

[11] M. Zemek, J. Skala, I. Kolingerov√°, P. Medek, J. Sochor, "Fast Method for Computation of Channels in Dynamic Proteins", 13th International Fall Workshop Vision, Modeling and Visualization 2008, 2008, pp.333-342.

[12] A. S. M. Houston and S. Napel, "Fast Volume Segmentation With Simultaneous Visualization Using Programmable Graphics Hardware," IEEE Visualization, 2003, pp. 171-176.
[CrossRef] [Web of Science Times Cited 38] [SCOPUS Times Cited 65]


[13] S. M. Smith, M. Jenkinson, M. W. Woolrich, C. F. Beckmann, T. E.J. Behrens, H. Johansen-Berg, P. R. Bannister, M. De Luca, I. Drobnjak, D. E. Flitney, R. K. Niazy, J. Saunders, J. Vickers, Y. Zhang, N. De Stefano, J. M. Brady and P. M. Matthews, "Advances in functional and structural MR image analysis and implementation as FSL," NeuroImage 23, 2004, pp. 208-219
[CrossRef] [PubMed] [Web of Science Times Cited 7432] [SCOPUS Times Cited 7831]


[14] K.-L. Ma, "Visualizing time-varying volume data," Computing in Science and Engineering, vol. 5, no. 2, 2003, pp. 34-42
[CrossRef] [Web of Science Times Cited 26] [SCOPUS Times Cited 37]


[15] H. Akiba, K-L Ma and J. Clyne, "End-to-end data reduction and hardware accelerated rendering techniques for visualizing time-varying non-uniform grid volume data," Proceedings of the 4th international workshop volume graphics, 2005. pp. 31-39.
[CrossRef]


[16] G. Guetat, M. Maitre, L. Joly, S. Lai, T. Lee and Y. Shinagawa, "Automatic 3-D Grayscale Volume Matching and Shape Analysis," IEEE Transactions On Information Technology In Biomedicine, vol. 10, no. 2, 2006
[CrossRef] [PubMed] [Web of Science Times Cited 17] [SCOPUS Times Cited 17]


[17] A. Roche, X. Pennec, G. Malandain and N. Ayache, "Rigid registraion of 3-D ultrasound with MR images: A new approach combining intensity and gradient information," IEEE Trans.Med. Imag., vol. 20, no. 10, 2001, pp. 1038-1049
[CrossRef] [PubMed] [Web of Science Times Cited 200] [SCOPUS Times Cited 227]


[18] E. Guest, E. Berry, R. Baldock, M. Fidrich and M. Smith, "Robust point correspondence applied to two- and three-dimensional image registration," IEEE Trans. Pattern Anal.Mach. Intell., vol. 23, no. 2, 2001, pp. 165-179
[CrossRef] [Web of Science Times Cited 46] [SCOPUS Times Cited 56]


[19] R. Bajcsy and S. Kovacic, "Multiresolution elastic matching," Comput. Vis. Graph. Image Underst., vol. 46, no. 1, 1989, pp. 1-21
[CrossRef] [Web of Science Times Cited 567]


[20] R. Urtasun, M. Salzmann and P. Fua, "3D Morphing without User Interaction," Eurographics Symposium on Geometry Processing, 2004.

[21] T.-Y. Lee, C.-H. Lin and H.-Y. Lin, "Computer-aided prototype system for nose surgery (rhinoplasty)," IEEE Trans. Inf. Technol. Biomed., vol. 5, no. 4, 2001, pp. 271-278
[CrossRef] [Web of Science Times Cited 19] [SCOPUS Times Cited 23]


[22] J. Parus, I. Kolingerova and M. Malkova, "Multimorphing: A tool for shape synthesis and analysis," Advances in Engineering Software, vol.40, 2009, pp.323-333
[CrossRef] [Web of Science Times Cited 4] [SCOPUS Times Cited 5]


[23] T. He, S. Wang and A. Kaufman, "Wavelet-Based Volume Morphing," Proceedings of Visualization ’94; Washington D.C., 1994, pp. 85-92.

[24] M. Hilaga,Y. Shinagawa, T. Komura and T. L. Kunii, "Topology matching for full automatic similarity estimation of 3D," Proc. SIGGRAPH 2001, Los Angeles, CA, 2001, pp. 203-212
[CrossRef]


[25] N. Amenta, M. W. Bern, M. K. Kamvysselisand, A. Crust, "A new Voronoi-based surface reconstruction algorithm," Proceedings of the 25th Annual Conference on Computer Graphics and Interactive Techniques, 1998, pp. 415-422
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References Weight

Web of Science® Citations for all references: 8,714 TCR
SCOPUS® Citations for all references: 8,875 TCR

Web of Science® Average Citations per reference: 300 ACR
SCOPUS® Average Citations per reference: 306 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2021-03-05 23:54 in 98 seconds.




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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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