Guide wire tracking during endovascular interventions

S. A.M. Baert, W. J. Niessen, E. H.W. Meijering, A. F. Frangi, M. A. Viergever

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

Abstract

A method is presented to extract and track the position of a guide wire during endovascular interventions under X-ray fluoroscopy. The method can be used to improve guide wire visualization in the low quality fluoroscopy images. A two-step procedure is utilized to track the guide wire in subsequent frames. First a rough estimate of the displacement is obtained using a template matching procedure. Subsequently, the position of the guide wire is determined by fitting the guide wire to a feature image in which line-like structures are enhanced. In this optimization step the influence of the scale at which the feature is calculated and the additional value of using directional information is investigated. The method is applied both on the original and subtraction images. Using the proper parameter settings, the guide wire could successfully be tracked based on the original images, in 141 out of 146 frames from 5 image sequences.

Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI 2000 - 3rd International Conference, Proceedings
EditorsScott L. Delp, Anthony M. DiGoia, Branislav Jaramaz
PublisherSpringer-Verlag Italia
Pages727-734
Number of pages8
ISBN (Print)3540411895, 9783540411895
DOIs
Publication statusPublished - 2000
Event3rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2000 - Pittsburgh, United States
Duration: 11 Oct 200014 Oct 2000

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1935
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2000
Country/TerritoryUnited States
CityPittsburgh
Period11/10/0014/10/00

Keywords

  • Guide wire tracking
  • Interventional radiology
  • Medical image processing

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