University of Bergen | Faculty of Mathematics and Natural Sciences | Department of Informatics | Visualization Group
Visualization
You are here: Department of Informatics > Visualization Group > Publications > Oye12Real
 Visualization
 > about
 > team & contact info
 > research
 > publications
 > projects
 > teaching
 > seminars
 > resources
 > network
 > events
 > links

Real Time Image-based Tracking of 4D Ultrasound Data

Ola Kristoffer �ye, Wolfgang Wein, Dag Magne Ulvang, Knut Matre and Ivan Viola

INPROCEEDINGS, Lecture Notes in Computer Science (LNCS), October, 2012

Abstract

We propose a methodology to perform real time image-based tracking on streaming 4D ultrasound data, using image registration to deduce the positioning of each ultrasound frame in a global coordinate system. Our method provides an alternative approach to traditional external tracking devices used for tracking probe movements. We compare the performance of our method against magnetic tracking on phantom and liver data, and show that our method is able to provide results in agreement with magnetic tracking.

Published

Lecture Notes in Computer Science (LNCS)

Media

  • www
  • additional material
  • Click to view
  • Click to view

BibTeX

@inproceedings{Oye12Real,
 author = {Ola Kristoffer �ye and Wolfgang Wein and Dag Magne Ulvang and Knut Matre and
  Ivan Viola},
 title = {Real Time Image-based Tracking of 4D Ultrasound Data},
 year = {2012},
 month = {October},
 booktitle = {Lecture Notes in Computer Science (LNCS)},
 address = {Nice, France},
 url = {http://www.miccai2012.org/},
 event = {15th International Conference on Medical Image Computing and Computer
  Assisted Invervention (MICCAI)},
 abstract = {We propose a methodology to perform real time image-based
  tracking on streaming 4D ultrasound data, using image registration to
  deduce the positioning of each ultrasound frame in a global coordinate
  system. Our method provides an alternative approach to traditional external
  tracking devices used for tracking probe movements. We compare
  the performance of our method against magnetic tracking on phantom
  and liver data, and show that our method is able to provide results in
  agreement with magnetic tracking.},


}






 Last Modified: Jean-Paul Balabanian, 2014-11-06