DOI QR코드

DOI QR Code

인터벤션시술의 자동화를 위한 영상처리방법으로 구현된 관측기 시스템 (실시간 혈관조영 영상 제공방법에 관한 연구)

Observer System with Image Processing Method for Automation Intervention Treatment

  • 김지홍 (전주비전대학교 신재생에너지과) ;
  • 류지형 (전북대학교 전자공학부) ;
  • 정길도 (전북대학교 전자공학부)
  • Kim, Jee-Hong (New & renewable energy eng., Vision University College of Jeonju) ;
  • Ryu, Ji-Hyoung (School of Electronics Engineering, Advanced Electronics and Information Research Center, Chonbuk National University) ;
  • Chong, Kil-To (School of Electronics Engineering, Advanced Electronics and Information Research Center, Chonbuk National University)
  • 투고 : 2013.12.06
  • 심사 : 2014.01.11
  • 발행 : 2014.04.01

초록

This study provides a method to detect blood vessels shape using image processing techniques with the help of fluoroscopy equipments, providing high precision information about vessels' location and shape of inner path. It will assist for checking and monitoring the position of operating tools during vascular interventional treatment. The blood vessels shapes are gathered with X-ray images when a fluorescent medications are injected into patient's vessel and those images are processed for getting the boundaries of vessels. Then these data are merged with real-time CT-images. These image processing systems and procedures recognize the catheter, though continued computing algorithms are very useful for observer part on the automatic control system.

키워드

참고문헌

  1. S. Y. Yi, J. Y. Rhi, S. C. Kim, and J. G. Lee, "3D Coordinates acquisition by using multi-view X-ray images," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 19, no. 10, pp. 886-890, 2013. https://doi.org/10.5302/J.ICROS.2013.13.8006
  2. Y.-B. Joo and K.-M. Huh, "Robust defect size measuring method for an automated vision inspection system," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 19, no. 11, pp. 974-978, 2013. https://doi.org/10.5302/J.ICROS.2013.13.9031
  3. T. Boskamp, D. Rinck, and B. Kummerlen, "New vessle analysis tool for morphometric quantification and visualization of vessels in CT and MR imaging data sets," Radio Graphics, vol.24 pp.287-297, 2004.
  4. S. Eiho, H. Sekiguchi, N. Sugimoto, T. Hanakawa, and S. Urayama "Branch-Based Region Growing Method for Blood Vessel Segmentation," ISPRS '04, pp.796-801, 2004.
  5. P.-A. Poletti, A. Rosset, D. Didier, P. Bachmann, F. R. Verdun, O. Rutschmann, J.-P. Vallee, F. Terrier, and G. Khatchatourov, "Subtraction CT angiography of the lower limbs: a new technique for the evaluation of acute arterial occlusion," American Journal of Radiology, vol. 183, pp. 1445-1448, 2004.
  6. G. D. Rubin, M. D. Dake, and S. A. Napel, "Three - dimensional spiral CT angiography of the abdomen: initial clinical experience," RSNA 1993, vol. 186, pp. 147-152, 1993.
  7. G. D. Rubin and D. Fleischmann, "CT angiography of the lower extremities," Applied Radiology Journal, vol. 33, no. 7, pp. 48-58, 2004.
  8. M. Straka, M. Cervenansky, A. L. Cruz, A. Kochl, M. Sramek, M. E. Groller, and D. Fleischmann, "The vessel- graphy: focus & context visualization in CT - angiography," In Proc. of IEEE Visualization 2004, pp. 385-392, 2004.