Real time image-based tracking of 4D ultrasound data

Ola Kristoffer Øye; Wolfgang Wein; Dag Magne Ulvang; Knut Matre; Ivan Viola

doi:10.1007/978-3-642-33415-3_55

Real time image-based tracking of 4D ultrasound data

Ola Kristoffer Øye, Wolfgang Wein, Dag Magne Ulvang, Knut Matre, Ivan Viola

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Scopus citations

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.

Original language	English (US)
Title of host publication	Medical Image Computing and Computer-Assisted Intervention, MICCAI2012 - 15th International Conference, Proceedings
Editors	Nicholas Ayache, Herve Delingette, Polina Golland, Kensaku Mori
Publisher	Springer Verlag
Pages	447-454
Number of pages	8
ISBN (Print)	9783642334146
DOIs	https://doi.org/10.1007/978-3-642-33415-3_55
State	Published - 2012
Externally published	Yes
Event	15th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012 - Nice, France Duration: Oct 1 2012 → Oct 5 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7510 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	15th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012
Country/Territory	France
City	Nice
Period	10/1/12 → 10/5/12

Keywords

Image registration
Real time image processing
Ultrasound

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-33415-3_55

Cite this

Øye, O. K., Wein, W., Ulvang, D. M., Matre, K., & Viola, I. (2012). Real time image-based tracking of 4D ultrasound data. In N. Ayache, H. Delingette, P. Golland, & K. Mori (Eds.), Medical Image Computing and Computer-Assisted Intervention, MICCAI2012 - 15th International Conference, Proceedings (pp. 447-454). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7510 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-642-33415-3_55

Øye, Ola Kristoffer ; Wein, Wolfgang ; Ulvang, Dag Magne et al. / Real time image-based tracking of 4D ultrasound data. Medical Image Computing and Computer-Assisted Intervention, MICCAI2012 - 15th International Conference, Proceedings. editor / Nicholas Ayache ; Herve Delingette ; Polina Golland ; Kensaku Mori. Springer Verlag, 2012. pp. 447-454 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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.",

keywords = "Image registration, Real time image processing, Ultrasound",

author = "{\O}ye, {Ola Kristoffer} and Wolfgang Wein and Ulvang, {Dag Magne} and Knut Matre and Ivan Viola",

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year = "2012",

doi = "10.1007/978-3-642-33415-3_55",

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Øye, OK, Wein, W, Ulvang, DM, Matre, K & Viola, I 2012, Real time image-based tracking of 4D ultrasound data. in N Ayache, H Delingette, P Golland & K Mori (eds), Medical Image Computing and Computer-Assisted Intervention, MICCAI2012 - 15th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7510 LNCS, Springer Verlag, pp. 447-454, 15th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012, Nice, France, 10/1/12. https://doi.org/10.1007/978-3-642-33415-3_55

Real time image-based tracking of 4D ultrasound data. / Øye, Ola Kristoffer; Wein, Wolfgang; Ulvang, Dag Magne et al.
Medical Image Computing and Computer-Assisted Intervention, MICCAI2012 - 15th International Conference, Proceedings. ed. / Nicholas Ayache; Herve Delingette; Polina Golland; Kensaku Mori. Springer Verlag, 2012. p. 447-454 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7510 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Wein, Wolfgang

AU - Ulvang, Dag Magne

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N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 2012.

PY - 2012

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AB - 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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Øye OK, Wein W, Ulvang DM, Matre K, Viola I. Real time image-based tracking of 4D ultrasound data. In Ayache N, Delingette H, Golland P, Mori K, editors, Medical Image Computing and Computer-Assisted Intervention, MICCAI2012 - 15th International Conference, Proceedings. Springer Verlag. 2012. p. 447-454. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-33415-3_55

Real time image-based tracking of 4D ultrasound data

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Keywords

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