Fast analysis of intracranical aneurysms based on interactive direct volume rendering and CTA

  • P. Hastreiter
  • Ch. Rezk-Salama
  • B. Tomandl
  • K. E. W. Eberhardt
  • T. Ertl
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1496)


The diagnosis of intracranial aneurysms and the planning of related interventions is effectively assisted by spiral CT-angiography and interactive direct volume rendering. Based on 3D texture mapping, we suggest a hardware accelerated approach which provides fast and meaningful visualization without time-consuming pre-processing. Interactive tools provide reliable measurement of distance and volume allowing to calculate the size of vessels and aneurysms directly within the 3D viewer. Thereby, the expensive material required for coiling procedures is estimated more precisely. Interactively calculated shaded isosurfaces, presented in [1] were evaluated in respect of enhanced perception of depth. Based on the integration into OpenInventor, global overview and simultaneous detail information is provided by communicating windows allowing for intuitive and user-guided navigation. Due to an average of 15–20 minutes required for the complete medical analysis, our approach is expected to be useful for clinical routine. Additional registration and simultaneous visualization of MR and CT-angiography gives further anatomical orientation. Several examples demonstrate the potential of our approach.


Digital Subtraction Angiography Intracranial Aneurysm Intracranical Aneurysm Volume Object Marching Cube 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    O. Sommer, A. Dietz, R. Westermann, and T. Ertl. An Interactive Visaulization and Navigation Tool for Medical Volume Data. In V. Skala, editor, WSCG’98 Conf. Proc., Feb. 1998.Google Scholar
  2. 2.
    J.L.D. Atkinson, T.M. Sundt, and O.W. Houser. Angiographic frequency of anterior circulation intracranial aneurysms. Neurosurg., 70:551–555, 1989.CrossRefGoogle Scholar
  3. 3.
    S. Nakajima, H. Atsumi, A. Bhalerao, F. Jolesz, R. Kikinis, T. Yoshimine, T. Moriarty, and P. Stieg. Computer-assisted Surgical Planning for Cerebrovascular Neurosurgery. Neurosurgery, 41:403–409, 1997.CrossRefPubMedGoogle Scholar
  4. 4.
    K.E.W. Eberhardt, B. Tomandl, W.J. Huk, R. Laumer, and R. Fahlbusch. Value of CT-angiography (CTA) in patients with intracranial aneurysms. Comparison with MR-angiography (MRA and digital subtraction angiography (DSA)). In Proc. of 11th Int. Congr. of Neuwlog. Surg., pages 1963–1967, Bologna, 1997.Google Scholar
  5. 5.
    A. Puig, D. Tost, and I. Navazo. An Interactive Cerebral Blood Vessel Exploration System. In Proc. Visualization, pages 433–436, Phoenix, AZ, 1997. IEEE Comp. Soc. Press.Google Scholar
  6. 6.
    K.J. Zuiderveld, P.M. van Ooijen, J.W. Chin-A-Woeng, P.C. Buijs, M. Olree, and F.H. Post. Clinical Evaluation of Interactive Volume Visualization. In Proc. Visualization, pages 367–370, San Francisco, Calif., 1996. IEEE Comp. Soc. Press.Google Scholar
  7. 7.
    B. Cabral, N. Cam, and J. Foran. Accelerated Volume Rendering and Tomographic Reconstruction Using Texture Mapping Hardware. ACM Symp. on Vol. Vis., pages 91–98, 1994.Google Scholar
  8. 8.
    P. Hastreiter and T. Ertl. Integrated Registration and Visualization of Medical Image Data. In Proc. CGI, pages 78–85, Hannover, Germany, 1998.Google Scholar
  9. 9.
    W. Krüger. The Application of Transport Theory to the Visualization of 3D Scalar Data Fields. In Proc. Visualization, pages 273–280. IEEE Comp. Soc. Press, 1990.Google Scholar
  10. 10.
    J. Danskin and P. Hanrahan. Fast Algorithms for Volume Ray Tracing. In Worksh. of Vol. Vis., pages 91–98. ACM, 1992.Google Scholar
  11. 11.
    R. Yagel and Z. Shi. Accelerating Volume Animation by Space Leaping. In Proc. Visualization, pages 62–69, Los Alamitos, 1993. IEEE Comp. Soc. Press.Google Scholar
  12. 12.
    D. Laur and P. Hanrahan. Hierarchical Splatting: A Progressive Refinement Algorithm for Volume Rendering. Computer Graphics, 25(4):285–288, July 1991.CrossRefGoogle Scholar
  13. 13.
    P. Lacroute and M. Levoy. Fast Volume Rendering Using a Shear-Warp Factorization of the Viewing Transform. Computer Graphics, 28(4):451–458, 1994.Google Scholar
  14. 14.
    G. Knittel and W. Stra\er. A Compact Volume Rendering Accelerator. In A. Kaufman and W. Krüger, editors, Symp. on Vol. Vis., pages 67–74. ACM SIGGRAPH, 1994.Google Scholar
  15. 15.
    H. Pfister and A. Kaufman. Cube-4 — A Scalable Architecture for Real-Time Volume Rendering. In R. Crawfis and Ch. Hansen, editors, Symp. on Vol. Vis., pages 47–54. ACM SIGGRAPH, 1996.Google Scholar
  16. 16.
    W.E. Lorensen and H.E. Cline. Marching Cubes: A High Resolution 3D Surface Construction Algorithm. Computer Graphics, 21(4): 163–169, 1987.CrossRefGoogle Scholar
  17. 17.
    J. West and J.M. Fitzpatrick and M.Y. Wang and B.M. Dawant and C.R. Maurer Jr. and R.M. Kessler and R.J. Maciunas. Retrospective Intermodality Registration Techniques: Surface-Based Versus Volume Based. In Proc. CVRMed-MRCAS, pages 151–160, 1997.Google Scholar
  18. 18.
    A. Collignon, D. Vandermeulen, P. Suetens, and G. Marchal. Automated Multi-Modality Image Registration Based on Information Theory. Kluwen Acad. Publ’s: Computational Imaging and Vision, 3:263–274, 1995.Google Scholar
  19. 19.
    W.M. Wells, P. Viola, H. Atsumi, S. Nakajima, and R. Kikinis. Multi-modal Volume Registration by Maximization of Mutual Information. Medical Image Analysis, Oxford University Press, 1(1), March 1996.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • P. Hastreiter
    • 1
  • Ch. Rezk-Salama
    • 1
  • B. Tomandl
    • 2
  • K. E. W. Eberhardt
    • 2
  • T. Ertl
    • 1
  1. 1.Department of Computer ScienceComputer Graphics Group, University of Erlangen-NurembergErlangenGermany
  2. 2.Department of NeurosurgeryDivision of Neuroradiology, University of Erlangen-NurembergErlangenGermany

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