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  3D organ motion prediction for MR-guided high intensity focused ultrasound

Arnold, P., Preiswerk, F., Fasel, B., Salomir, R., Scheffler, K., & Cattin, P. (2011). 3D organ motion prediction for MR-guided high intensity focused ultrasound. In G. Fichtinger, A. Martel, & T. Peters (Eds.), Medical Image Computing and Computer-Assisted Intervention: MICCAI 2011 (pp. 623-630). Berlin, Germany: Springer.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-BA38-5 Version Permalink: https://hdl.handle.net/21.11116/0000-0001-F2A5-3
Genre: Conference Paper

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https://link.springer.com/content/pdf/10.1007%2F978-3-642-23629-7_76.pdf (Publisher version)
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 Creators:
Arnold, P, Author
Preiswerk, F, Author
Fasel, B, Author
Salomir, R, Author
Scheffler, K1, Author           
Cattin, PC, Author
Affiliations:
1Medical Image Analysis Center, University of Basel, ou_persistent22              

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 Abstract: MR-guided High Intensity Focused Ultrasound is an emerging non-invasive technique capable of depositing sharply localised energy deep within the body, without affecting the surrounding tissues. This, however, implies exact knowledge of the target’s position when treating mobile organs. In this paper we present an atlas-based prediction technique that trains an atlas from time-resolved 3D volumes using 4DMRI, capturing the full patient specific motion of the organ. Based on a breathing signal, the respiratory state of the organ is then tracked and used to predict the target’s future position. To additionally compensate for the non-periodic slower organ drifts, the static motion atlas is combined with a population-based statistical exhalation drift model. The proposed method is validated on organ motion data of 12 healthy volunteers. Experiments estimating the future position of the entire liver result in an average prediction error of 1.1 mm over time intervals of up to 13 minutes.

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 Dates: 2011-09
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1007/978-3-642-23629-7_76
BibTex Citekey: ArnoldPFSSC2011
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Title: 14th International Conference on Medical Image Computing and Computer-assisted Intervention (MICCAI 2011)
Place of Event: Toronto, Canada
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Title: Medical Image Computing and Computer-Assisted Intervention: MICCAI 2011
Source Genre: Proceedings
 Creator(s):
Fichtinger, G, Editor
Martel, A, Editor
Peters, T, Editor
Affiliations:
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Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 623 - 630 Identifier: ISBN: 978-3-642-23628-0

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Pages: - Volume / Issue: 6892 Sequence Number: - Start / End Page: - Identifier: -