Journal of Multimedia Information System

한국멀티미디어학회 (Korea Multimedia Society)
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3D Rendering of Magnetic Resonance Images using Visualization Toolkit and Microsoft.NET Framework

  • 투고 : 2015.06.20
  • 심사 : 2015.08.10
  • 발행 : 2015.06.30
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초록

In this paper, we proposed new software for 3D rendering of MR images in the medical domain using C# wrapper of Visualization Toolkit (VTK) and Microsoft .NET framework. Our objective in developing this software was to provide medical image segmentation, 3D rendering and visualization of hippocampus for diagnosis of Alzheimer disease patients using DICOM Images. Such three dimensional visualization can play an important role in the diagnosis of Alzheimer disease. Segmented images can be used to reconstruct the 3D volume of the hippocampus, and it can be used for the feature extraction, measure the surface area and volume of hippocampus to assist the diagnosis process. This software has been designed with interactive user interfaces and graphic kernels based on Microsoft.NET framework to get benefited from C# programming techniques, in particular to design pattern and rapid application development nature, a preliminary interactive window is functioning by invoking C#, and the kernel of VTK is simultaneously embedded in to the window, where the graphics resources are then allocated. Representation of visualization is through an interactive window so that the data could be rendered according to user's preference.

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참고문헌

  1. E. Heiberg, J. Sjogren, M. Ugander, M. Carlsson, H. Engblom, and H. Arheden, "Design and validation of Segment - freely available software for cardiovascular image analysis," Journal of BMC Medical Imaging, Vol. 10, No. 1, Jan. 2010.
  2. A. Buja, D. Cook, and D.F. Swayne, "Interactive high-dimensional data visualization," Journal of Computational and Graphic Statistics, Vol. 5, No. 1, pp. 78-99, Mar. 1996.
  3. W. Schroeder, K. Martin, and B. Lorensen, The Visualization Toolkit, an Object-Oriented Approach to 3D Graphics, 3rd Edition. Kitware, 2002.
  4. L.G. Nyul, A.X. Falcao, and J.K. Udupa, "Fuzzyconnected 3D image segmentation at interactive speeds," Graphical Models, Vol. 64, No. 5, pp. 259-281, Sep. 2002. https://doi.org/10.1016/S1077-3169(02)00005-9
  5. D. Maleike, M. Nolden, H.P. Meinzer, and I.Wolf, "Interactive segmentation framework of the Medical Imaging Interaction Toolkit," Computer Methods and Programs in Biomedicine, Vol. 96, No. 1, pp. 72-83, Oct. 2009. https://doi.org/10.1016/j.cmpb.2009.04.004
  6. M. Viceconti, C. Zannoni , D. Testi, M. Petrone, S. Perticoni, P. Quadrani, at. al., "The multimode application framework: A rapid application development tool for computer aided medicine," Computer methods and Programs in biomedicine, Vol. 85, No. 2, pp. 138-151, Oct. 2007. https://doi.org/10.1016/j.cmpb.2006.09.010
  7. R.A. Robb, D.P. Hanson, R.A. Karwoski, A.G. Larson, E.L.Workman, and M.C. Stacy, "Analyze: a comprehensive operator-interactive software package for multidimensional medical image display and analysis," Computerized Medical Imaging and Graphics, Vol. 13, No. 6, pp. 433-454, Dec. 1989. https://doi.org/10.1016/0895-6111(89)90285-1
  8. K. Cleary, L.Ibanez, S.Ranjan, and B. Blake, "IGSTK: A Software Toolkit for Image-guided Surgery Applications," Computer aided radiology and surgery, Vol. 39, No. 4, pp. 46-53, 2006.
  9. A. Rosset, L. Spadola, and O. Ratib, "OsiriX:An Open-Source Software for Navigating in Multidimensional DICOM Images," Journal of Digital Imaging, Vol. 17, No. 3, pp. 205-216, Sep. 2004. https://doi.org/10.1007/s10278-004-1014-6
  10. K. Martin, L. Ibanez, L. Avila, S. Barre, and J.H. Kaspersen, "Integrating segmentation methods from the Insight Toolkit into a visualization application", Journal of Medical Image Analysis, Vol. 9, No. 6 , pp. 579-593, Dec. 2005. https://doi.org/10.1016/j.media.2005.04.009
  11. J.J.Caban, A.Joshi, and P. Nagy, "Rapid Development of Medical Imaging Tools with Open-Source Libraries," Journal of Digital Imaging, Vol. 20, No. 1, pp. 83-93, Nov. 2007. https://doi.org/10.1007/s10278-007-9062-3
  12. L.S. Avila, U. Ayachit, S. Barre, J. Baumes, and F. Bertel, The VTK User's Guide, Install Use and Extend The Visualization Toolkit,11th Edition. Kitware, 2010.
  13. F. Rousseau, E. Oubel, J. Pontabry, M. Schweitzer,C. Studholme, M. Koob, and JL. Dietemann, "BTK: An open-source toolkit for fetal brain MR image processing", Computer methods and programs in biomedicine, vol. 109, no. 1, pp. 65-73, Jan. 2013. https://doi.org/10.1016/j.cmpb.2012.08.007
  14. R. Spence, Information Visualization: Design for Interaction, 2nd Edition, Pearson, 2006.
  15. A. Kumar, Y. Y. Wang, C. J. Wu, K. C. Liu, and H. S. Wu, "Stereoscopic visualization of laparoscope image using depth information from 3D model," Computer Methods and Programs in Biomedicine, Vol. 113, No. 3, pp. 862-868, Mar. 2014. https://doi.org/10.1016/j.cmpb.2013.12.013
  16. J. P. Helferty, and W.E. Higgins, "Combined endoscopic video tracking and virtual 3D CT registration for surgical guidance in Image Processing," in Proceedings International Conference, Vol. 2, No. 2, pp. 959-961, Sep. 2002.
  17. D. Burschka, M. Li, M. Ishii, R.H. Taylor and G.D. Hager, "Scale-invariant registration of monocular endoscopic images to CT-scans for sinus surgery," Medical Image Analysis, Vol. 9, No. 5, pp. 413-426, Oct. 2005. https://doi.org/10.1016/j.media.2005.05.005
  18. T. ZinBer, J. Schmidt, and H. Niemann, "Point set registration with integrated scale estimation," in proceeding of 8th International Conference on Pattern Recognition and Image Processing, pp. 116-119, May 2005.
  19. W. Qiu, J. R. Tong, T. Marchant, P. Spencer, C. J. Moore, and M. Soleimani, "New iterative cone beam CT reconstruction software: Parameter optimization and convergence study," Computer methods and programs in biomedicine, Vol. 100, No. 2 , pp. 166-174, Nov. 2010. https://doi.org/10.1016/j.cmpb.2010.03.012
  20. H. M. Ladak, F. Mao, Y. Wang, D. B. Downey, D. A. Steinman, and A. Fenster, "Prostate boundary segmentation from 2D ultrasound images," International Journal of Medical Physics Research and Practice, Vol. 27, No. 8 , May 2000.
  21. A. C. Hodge, A. Fenster, D. B. Downey, and H. M. Ladak, "Prostate boundary segmentation from ultrasound images using 2D active shape models: Optimization and extension to 3D," Computer Methods and Programs in Biomedicine, Vol. 84, No. 2, pp. 99-113, Dec. 2006. https://doi.org/10.1016/j.cmpb.2006.07.001
  22. H. M. Ladak, J. S. Milner, and D. A. Steinman, "Rapid 3D segmentation of the carotid bifurcation from serial MR images," Journal of Biomechanical Engineering, Vol. 122, No. 1, pp. 96-99, Aug. 1999.
  23. S. Dammert, T. Krings, W. Moller-Hartmann, E. Ueffing, F.J. Hans, K. Willmes, M. Mull, and A. Thron, "Detection of intracranial aneurysms with multi slice CT: comparison with conventional angiography," Journal of Neuroradiology, Vol. 46 , No. 6, pp. 427-434, Apr. 2004.
  24. A. Lauric, E. Miller, S. Frisken, and A.M. Malek, "Automated detection of intracranial aneurysms based on parent vessel 3D analysis," Medical Image Analalysis, Vol. 14, pp. 149-159, Apr. 2010. https://doi.org/10.1016/j.media.2009.10.005
  25. Y. Jin, and H. M. Ladak, "Software for interactive segmentation of the caroid artery from 3D black boold magnetic resonance images," Computer methods and programs in biomedicine, Vol. 75, No. 1, pp. 31-43, Jul. 2004. https://doi.org/10.1016/j.cmpb.2003.10.003