Real Time Image-based Tracking of 4D Ultrasound Data
Ola Kristoffer Øye, Wolfgang Wein, Dag Magne Ulvang, Knut Matre and
Ivan Viola
INPROCEEDINGS,
Lecture Notes in Computer Science (LNCS),
October, 2012
AbstractWe 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
BibTeX
@inproceedings{Oye12Real,
author = {Ola Kristoffer Øye 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.},
}
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