3D Brain-Endoscopy Using VRML and 2D CT images

VRML을 이용한 3차원 Brain-endoscopy와 2차원 단면 영상

  • Kim, D.O. (Seoul Nat'l Univ. School of Electric Engineering, Seoul Nat'l University) ;
  • Ahn, J.Y. (Seoul Nat'l Univ. School of Electric Engineering, Seoul Nat'l University) ;
  • Lee, D.H. (Department of Biomedical Engineering, College of Medicine, Seoul Nat'l University) ;
  • Kim, N.K. (Department of Radiology, College of Medicine, Seoul National University) ;
  • Kim, J.H. (BIT Co. Ltd. Technical Institute) ;
  • Min, B.G. (Department of Biomedical Engineering, College of Medicine, Seoul Nat'l University)
  • 김동욱 (서울대학교 공과대학 전기공학부) ;
  • 안진영 (서울대학교 공과대학 전기공학부) ;
  • 이동혁 (서울대학교 의과대학 의공학교실) ;
  • 김남국 (서울의대 방사선학 교실) ;
  • 김종효 (비트컴퓨터 기술연구소) ;
  • 민병구 (서울대학교 의과대학 의공학교실)
  • Published : 1998.11.20

Abstract

Virtual Brain-endoscopy is an effective method to detect lesion in brain. Brain is the most part of the human and is not easy part to operate so that reconstructing in 3D may be very helpful to doctors. In this paper, it is suggested that to increase the reliability, method of matching 3D object with the 2D CT slice. 3D Brain-endoscopy is reconstructed with 35 slices of 2D CT images. There is a plate in 3D brain-endoscopy so as to drag upward or downward to match the relevant 2D CT image. Relevant CT image guides the user to recognize the exact part he or she is investigating. VRML Script is used to make the change in images and PlaneSensor node is used to transmit the y coordinate value with the CT image. The result is test on the PC which has the following spec. 400MHz Clock-speed, 512MB ram, and FireGL 3000 3D accelerator is set up. The VRML file size is 3.83MB. There was no delay in controlling the 3D world and no collision in changing the CT images. This brain-endoscopy can be also put to practical use on medical education through internet.

Keywords