Journal of Multimedia Information System

한국멀티미디어학회 (Korea Multimedia Society)
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Brain Hologram Visualization for Diagnosis of Tumors using Graphic Imaging

  • Nam, Jenie (Youngsan International School of Seoul) ;
  • Kim, Young Jae (Biomedical Engineering Branch, Division of Precision Medicine and Cancer Informatics, National Cancer Center) ;
  • Lee, Seung Hyun (Department of Plazma Bio Display, Kwangwoon University) ;
  • Kim, Kwang Gi (Biomedical Engineering Branch, Division of Precision Medicine and Cancer Informatics, National Cancer Center)
  • 투고 : 2016.08.08
  • 심사 : 2016.08.17
  • 발행 : 2016.09.30
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초록

This research paper examines the usage of graphic imaging in Holographic Projections to further advance the medical field. It highlights the importance and necessity of this technology as well as avant-garde techniques applied in the process of displaying images in digital holography. This paper also discusses the different types of applications for holograms in society today. Different tools were utilized to transfer a set of a cancer patient's brain tumor data into data used to produce a 3D holographic image. This image was produced through the transfer of data from one program to another. Through the use of semi-automatic segmentation through the seed region method, we were able to create a 3D visualization from Computed Tomography (CT) data.

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참고문헌

  1. Y. N. Ovechkis, "History of the Holography," History of the Holography. Oquagen, n.d. Web.
  2. J. D Bekenstein, "Information in the Holographic Universe," Am Scientific American, vol. 289, no. 2, pp. 58-65, 2003. https://doi.org/10.1038/scientificamerican0803-58
  3. T. Hattori, S. Sadayuki, I. Mitsuru and R. A. Nader, "Image Processing of Automatic Hologram Synthesizer for Medical Use," Journal of Light & Visual Environment, vol. 17, no. 1, pp. 56-61, 1993. https://doi.org/10.2150/jlve.17.1_56
  4. H. Helmut, B. Herbert, Dictionary Geotechnical Engineering / Worterbuch GeoTechnik. Berlin, Heidelberg: Springer, 2014.
  5. Cancer.Net, "Brain Tumor: Treatment Options", 2012; http://www.cancer.net/cancer-types/brain-tumor/treatment-options
  6. P. Oleg S, Digital imaging and Communications in Medicine (DICOM). Berlin, Heidelberg:Springer, 2008.
  7. D. R. Varma, "Managing DICOM Images: Tips and Tricks for the Radiologist," The Indian Journal of Radiology & Imaging. vol. 22, no. 1, pp. 4-13, Jan. 2012. https://doi.org/10.4103/0971-3026.95396
  8. RadiAnt DICOM Viewer, "Changing Brightness / Contrast," http://www.radiantviewer.com/dicomviewer-manual/change_brightness_contrast.htm, 2016.
  9. J. Castelan, L. Schaeffer, A. Daleffe, D. Fritzen, V. Salvaro and F. Silva, "Manufacture of custom-made cranial implants from $DICOM^{(R)}images$ using 3D printing, CAD/CAM technology and incremental sheet forming," Revista Brasileira de Engenharia Biomedica, vol. 30, no. 3, pp. 265-273, 2014. https://doi.org/10.1590/rbeb.2014.024
  10. W. Fang and Z. Hongqin, "Algorithm of Marching Cubes," in Knowledge Acquisition and Modeling (KAM) 2011 Fourth International Symposium on., pp. 321-322, 2011.
  11. A. G. Schreyer and S. K. Warfield, Sufrace Rendering. Berlin, Heidelberg:Springer, 2002.