[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
10.1145/376957.376961acmconferencesArticle/Chapter ViewAbstractPublication PagesspmConference Proceedingsconference-collections
Article

The ellipsoidal skeleton in medical applications

Published: 01 May 2001 Publication History

Abstract

Rough 3D data images obtained by computed tomography or magnetic resonance imagery are inadequate: this paper proposes a high-level data structure called ellipsoidal skeleton. It is based on a tree of best partitions of the points set and features data compression, multi-level representation capabilities, surface reconstruction, interactive visualization, relevant parameters extraction, automatic matching and recognition.

References

[1]
A. Jaldie A. Leonardis and E Solina. Superquadrics for segmenting and modeling range data. In IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 19, pages 1289-1295. IEEE, November 1997.
[2]
A. Sourin A. Pasko, V. Adzhiev and V. Savchenko. Function representation in geometric modelling : concepts, implementation and applications. In The lfisual Computer, pages 429- 446. Springer-Verlag, 1995.
[3]
F. Ban6gas. CaracMrisation et reconstruction de solides tridimensionnels par squelette ellipsoidal. PhD thesis, Ecole Nationale des Mines de St-Etienne, 158 cours Fauriel, 42023 St Etienne cedex 2, France, 2000.
[4]
A. Bart. Global and local deformations of solid primitives. In Computer Graphics, volume 18, pages 21-30. ACM Press, 1984.
[5]
I. Biederman. Recognition-by-components: a theory image human understanding. Psychological review, 94:115-147, 1987.
[6]
E. Bittar, N. Tsingos, and M.E Gascuel. Automatic reconstruction of unstructured 3d data: combining a medial axis and implicit surfaces. In E Post and M. Gobel, editors, Eurographics '95, volume 14, 1995.
[7]
J.E Blinn. A generalization of algebraic surface drawing. In ACM Trans. on Graphics, volume 1, pages 235-256. ACM Press, 1982.
[8]
J. D. Boissonnat. Geometric structures for three-dimensional shape representation. In A CM Transactions on Graphics, volume 3, pages 266--286. ACM Press, 1984.
[9]
J. D. Boissonnat. Shape reconstruction from planar cross sections. In Computer Vision, Graphics and Image Processing, 44, 1988.
[10]
E Canovas, E Bantgas, C. Cyteval, M. Jaeger, A. Dimeglio, C. Sultan, and F. Bonnel. Carpal bone maturation assessment by image analysis from ct-scans. Journal of radiology, 2000. to be published.
[11]
L.D. Cohen. On active contour models and balloons. Computer Vision Graphics Image Proceedings, 53:211-218, 1991.
[12]
T. Cormen, C. Leiserson, and R. Rivest. Foundations of Computer Science. MIT Press, Cambridge, Massachusets, 1990.
[13]
P. Bertolino D. Attali and A. Montanvert. Using polybatls to approximate shapes and skeletons, 1994.
[14]
G. Danuser and M. Stricker. Parametric model fitting : From inlier characterization to outlier detection. In IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 20, pages 263-280. IEEE, March 1998.
[15]
E. Diday. Une nouvelle mtthode en classification automatique et reconnaissance des formes : la mtthode des nutes dynamiques. In Rev. Statist. Appl., volume 19, pages 19-33, 1971.
[16]
E. Ferley, M.P. Gascuel, and D. Attali. Skeletal reconstruction of branching shapes. In Implicit Surfaces '96, Eindhoven (The Netherlands), October 1996.
[17]
Z. Galil. Efficient algorithms for finding maximum matching in graphs. Computing Surveys, 18(1), march 1986.
[18]
E Glover. Tabu search; part I. ORSA Journal on Computing, 1(3):190-206, 1989.
[19]
E Glover. Tabu search; part II. ORSA Journal on Computing, 2(1):4-32, 1989.
[20]
H. Hoppe. Progressive meshes. In Siggraph '96, pages 99- 108. ACM Siggraph, 1996.
[21]
R.E. Kass and A.E. Raftery. Bayes factor. Journal of the American StatisticaI Association, 90:773-795, 1995.
[22]
W.E. Lorensen and H.E. Ciine. Marching cubes: a high resolution 3d surface algorithm. In Computer Graphics, volume 21, pages 163-169. ACM Press, july 1987.
[23]
B.S. Morse, S.N. Pizer, and C.A. Burbeck. General shape and specific detail: context-dependent use of scale in determining visual form. In Second International Workshop on Visual Form, pages 374-383. World Scientific, 1994.
[24]
S. Muraki. Volumetric shape description of range data using "blobby model". In Computer Graphics, volume 25, pages 227-235. ACM Press, July 1991.
[25]
M. N., O. Kiibler, R. Kikinis, M.E. Schenton, and G. Szkely. Characterization and recognition of 3d organ shape in medical image analysis using skeletonization. In IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, San Francisco (USA), June 1996.
[26]
I. Pitas and A.N. Anastasios. Morphological shape decomposition. IEEEPAMI, 12(1):38--45, 1991.
[27]
W.H. Press, S.A. Teukolsky, W.T. Vetterling, and B.P. Flannery. Numerical Recipes in C, the Art of Scientific Computing. Cambridge University Press, 1992.
[28]
A. Ricci. A constructive geometry for computer graphics. The Computer Journal, 16:157-160, May 1973.
[29]
J. Rossignac and P. Borrel. Multi-resolution 3d approximation for rendering complex scenes. In B. Falcidieno and T.L. Kunii, editors, Modelling in Computer Graphics, pages 455- 465. Springer Vedag, 1993.
[30]
W. Schroeder, J. Zarge, and W. Lorensen. Decimation of triangle meshes. In Siggraph '92, volume 26, pages 65-70. ACM Siggraph, July 1992.
[31]
S. Sclaroff and A. Pentland. Generalized implicit functions for computer graphics, In Computer Graphics, volume 25, pages 247-250. ACM Press, July 1991.
[32]
S. Sclaroff and A. Pentland. Model matching for correspondance and recognition. IEEE PAMI, June 1995.
[33]
A.J. Scott and M.J. Symons. Clustering methods based on likelyhood ratio criteria. Biometrics, 27:387-397, 1971.
[34]
E.P. Simoncelli. A rotation invarariant pattern signature. In IEEE International Conference on Image Processing, volume 3, pages 185-188, Lausanne (Switzerland), September 1996.
[35]
B. Soroka, R. Andersson, and R. Bajcsy. Generalized cylinders from local aggregation of sections. In Pattern Recognition, volume 13, 1981.
[36]
G. Taubin. Distance Approximation for Rasterizing Implicit Curves. ACM Transactions on Graphics, 13:3-42, 1994.
[37]
G. Taubin, F. Cukierman, S. Sullivan, J. Ponce, and D.J. Kriegman. Parameterized families of polynomials for bounded algebraic curve and surface fitting. IEEE PAMI, 6:287-303, March 1994.
[38]
C. Lefvre V. Burdin, C. Roux and E. Stindel. Modeling and analysis of 3-d elongated shapes with application to long bone morphometry. In IEEE Transactions on Medical Imaging, volume 15, pages 79-91. IEEE, February 1996.
[39]
O. G. Okunev V. V. Savchenko, A.A. Pasko and T. L. Kunii. Function representation of solids reconstructed from scattered surface points and contours. In Eurographics '95. Blackwell Publishers, 1995.

Cited By

View all
  • (2018)Approximation of Pore Space with Ellipsoids: A Comparison of a Geometrical Method with a Statistical one2018 14th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)10.1109/SITIS.2018.00023(84-90)Online publication date: Dec-2018
  • (2018)Data visualization for vegetal landscapes: Building 3D representations of organ biomass compartments: How plant production could constrain 3D lollypop-like representations2018 6th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications (PMA)10.1109/PMA.2018.8611608(85-93)Online publication date: Dec-2018
  • (2017)From Voxels to Ellipsoids: Application to Pore Space Geometrical ModellingIT Convergence and Security 201710.1007/978-981-10-6451-7_23(184-193)Online publication date: 31-Aug-2017
  • Show More Cited By

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences
SMA '01: Proceedings of the sixth ACM symposium on Solid modeling and applications
May 2001
328 pages
ISBN:1581133669
DOI:10.1145/376957
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 May 2001

Permissions

Request permissions for this article.

Check for updates

Qualifiers

  • Article

Conference

SM01
Sponsor:

Acceptance Rates

Overall Acceptance Rate 86 of 173 submissions, 50%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)2
  • Downloads (Last 6 weeks)0
Reflects downloads up to 28 Jan 2025

Other Metrics

Citations

Cited By

View all
  • (2018)Approximation of Pore Space with Ellipsoids: A Comparison of a Geometrical Method with a Statistical one2018 14th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)10.1109/SITIS.2018.00023(84-90)Online publication date: Dec-2018
  • (2018)Data visualization for vegetal landscapes: Building 3D representations of organ biomass compartments: How plant production could constrain 3D lollypop-like representations2018 6th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications (PMA)10.1109/PMA.2018.8611608(85-93)Online publication date: Dec-2018
  • (2017)From Voxels to Ellipsoids: Application to Pore Space Geometrical ModellingIT Convergence and Security 201710.1007/978-981-10-6451-7_23(184-193)Online publication date: 31-Aug-2017
  • (2012)3D shape analysis for liver-gallbladder anatomical structure retrievalProceedings of the 4th international conference on Abdominal Imaging: computational and clinical applications10.1007/978-3-642-33612-6_19(178-187)Online publication date: 1-Oct-2012
  • (2010)Problem Statement and PreliminariesAnimation and Performance Capture Using Digitized Models10.1007/978-3-642-10316-2_13(127-132)Online publication date: 2010
  • (2007)Animation collageProceedings of the 2007 ACM SIGGRAPH/Eurographics symposium on Computer animation10.5555/1272690.1272727(271-280)Online publication date: 3-Aug-2007
  • (2007)A Fast Ambient Occlusion Method for Real-Time Plant RenderingJournal of Computer Science and Technology10.1007/s11390-007-9104-922:6(859-866)Online publication date: 17-Nov-2007
  • (2006)Fast Tree Ambient Occlusion ApproximationProceedings of the 2006 International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications10.1109/PMA.2006.58(319-322)Online publication date: 13-Nov-2006
  • (2004)Marker-free kinematic skeleton estimation from sequences of volume dataProceedings of the ACM symposium on Virtual reality software and technology10.1145/1077534.1077546(57-64)Online publication date: 10-Nov-2004
  • (2004)Motion reconstruction using moments analysisProceedings. 17th Brazilian Symposium on Computer Graphics and Image Processing10.1109/SIBGRA.2004.1352981(354-361)Online publication date: 2004
  • Show More Cited By

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media