3D organ motion prediction for MR-guided high intensity focused ultrasound
ConferencePaper (Artikel, die in Tagungsbänden erschienen sind)
 
ID 2250101
Author(s) Arnold, Patrik; Preiswerk, Frank; Fasel, Beat; Salomir, Rares; Scheffler, Klaus; Cattin, Philippe C
Author(s) at UniBasel Cattin, Philippe Claude
Year 2011
Title 3D organ motion prediction for MR-guided high intensity focused ultrasound
Editor(s) Fichtinger, G; Martel, A; Peters, T
Book title (Conference Proceedings) Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011 : 14th International Conference, Toronto, Canada, September 18-22, 2011 ; Proceedings
Volume 6892
Place of Conference Toronto
Publisher Springer
Place of Publication Berlin
Pages S. 623-630
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.
edoc-URL http://edoc.unibas.ch/dok/A6308334
Full Text on edoc No
Digital Object Identifier DOI 10.1007/978-3-642-23629-7_76
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/21995081
ISI-Number WOS:000307197400076
Document type (ISI) inproceedings
Additional Information Also published in: Lecture notes in computer science. - Berlin : Springer. - 6891 (2011), S. 623-630
 
   

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