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

Patrik Arnold, and Frank Preiswerk, and Beat Fasel, and Rares Salomir, and Klaus Scheffler, and Philippe C. Cattin, . (2011) 3D organ motion prediction for MR-guided high intensity focused ultrasound. In: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011 : 14th International Conference, Toronto, Canada, September 18-22, 2011 ; Proceedings, Part 2. Berlin, pp. 623-630.

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Official URL: http://edoc.unibas.ch/dok/A6308334

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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.
Faculties and Departments:03 Faculty of Medicine > Departement Biomedical Engineering > Imaging and Computational Modelling > Center for medical Image Analysis & Navigation (Cattin)
UniBasel Contributors:Cattin, Philippe Claude
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Bibsysno:Link to catalogue
Publisher:Springer
Note:Also published in: Lecture notes in computer science. - Berlin : Springer. - 6891 (2011), S. 623-630 -- Publication type according to Uni Basel Research Database: Conference paper
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Last Modified:03 Jul 2015 08:53
Deposited On:03 Jul 2015 08:53

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