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Observer System with Image Processing Method for Automation Intervention Treatment

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

  • 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)
  • 김지홍 (전주비전대학교 신재생에너지과) ;
  • 류지형 (전북대학교 전자공학부) ;
  • 정길도 (전북대학교 전자공학부)
  • Received : 2013.12.06
  • Accepted : 2014.01.11
  • Published : 2014.04.01

Abstract

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.

Keywords

References

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