Two-Dimensional Medical Image 3D Visualization System’s Realization
Affiliation(s)
Engineering and Technology College of Changchun Department of Electronics. Science and Technology University of Changchun Department of computer.
Engineering and Technology College of Changchun Department of Electronics. Science and Technology University of Changchun Department of computer.
ABSTRACT
With the development of virtual reality application in the medical field, two-dimensional medical image of the three-dimensional visualization technology made possible. Surgery gets into minimally invasive operation microscopy Era, and gradually becomes a new research hotspot. This paper studies the realization of two-dimensional medical im-age 3D reconstruction visualization system method, and the overall process and management module. Using the main technology of VTK (The Visualization Toolkit) to achieve a two-dimensional medical image three-dimensional visua-lization system, which can help the physician to obtain help clinical diagnosis Information and play an important role in treatment, accurate positioning in diseased tissue and tumor early diagnosis.
With the development of virtual reality application in the medical field, two-dimensional medical image of the three-dimensional visualization technology made possible. Surgery gets into minimally invasive operation microscopy Era, and gradually becomes a new research hotspot. This paper studies the realization of two-dimensional medical im-age 3D reconstruction visualization system method, and the overall process and management module. Using the main technology of VTK (The Visualization Toolkit) to achieve a two-dimensional medical image three-dimensional visua-lization system, which can help the physician to obtain help clinical diagnosis Information and play an important role in treatment, accurate positioning in diseased tissue and tumor early diagnosis.
Cite this paper
A. Ting, L. Zhe and M. Yu, "Two-Dimensional Medical Image 3D Visualization System’s Realization," Open Journal of Applied Sciences, Vol. 3 No. 1, 2013, pp. 32-35. doi: 10.4236/ojapps.2013.31B007.
A. Ting, L. Zhe and M. Yu, "Two-Dimensional Medical Image 3D Visualization System’s Realization," Open Journal of Applied Sciences, Vol. 3 No. 1, 2013, pp. 32-35. doi: 10.4236/ojapps.2013.31B007.
References
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[1] M Haubner, C Krapichler, A Losch, et al. Virtual reality in medicine- computer graphics and interaction tech-niques[J]. IEEE Trans.On Information Techology in Biomedicine, 1997, 1(1):61-72. [2] Hamann, B.A data reduction scheme for triangulated surface[J]. Computer Aided Geometric Design, 1994,11(2):197-214. [3] Craig Upson, Michael Keeler, V-buffer. Visible volume rendering [J]. ACM SIGGRAPH Computer Graphics, 1988, 22(4): 59-64. [4] J Bloomenthal. Polygonalization of Implicit Surfaces[J]. CAGD, 5(4):341-355, 1988. [5] Ghrare S E,Ali M A M,Jumari K,et.An efficient low complexity lossless cod-ing algorithm for medical images[J].American Journal of Applied Sciences,2009,6(8):1502-1508 [6] Kelly, P.J. (1994). Quantitative Virtual Reality Surgical Simulation, Minimally Invasive Stereotactic Neurosurgery and Frameless Stereotactic Technologies. Medicine Meets Virtual Reality II: Interactive Technology & Healthcare: Visionary Applications for Simulation Visualization Robotics (pp. 103-108). [7] Selvaraj K.Data extraction from computer acquired images of a given 3D environment for enhanced computer vision and its applications inkinematic design of robs[J].Journal of Computer Science,2010,6(4):425-427. [8] Purschke F,et al.Virtual Reality:New Methods for Improving and Accelerating the Development Process in Vehicle Styling and Design.Computer Graphics Internation-al,Proceedings,1998.789. [9] Yang Mengzhou,Shi Jiaoying.3D Model Reconstruction Algorithm Based on the Texture of Photos[J].Ruan Jian Xue Bao/Journal of Software,2000,11(4):502-506. [10] Xu B, et al. Video Metrics and Optical Methods for 3D Shape Measure-ment,Proceedings of SPIE[J].the International Society for Optical Engineering,2001,4309:26-33