Model-based respiratory motion compensation in MRgHIFU

Patrik Arnold, and Frank Preiswerk, and Beat Fasel, and Rares Salomir, and Klaus Scheffler, and Philippe Cattin, . (2012) Model-based respiratory motion compensation in MRgHIFU. In: Information processing in computer-assisted interventions : Third International Conference, IPCAI 2012, Pisa, Italy, June 27, 2012 ; Proceedings. Berlin, pp. 54-63.

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Official URL: http://edoc.unibas.ch/dok/A6337738

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Magnetic Resonance guided High Intensity Focused Ultrasound (MRgHIFU) is an emerging non-invasive technology for the treatment of pathological tissue. The possibility of depositing sharply localised energy deep within the body without affecting the surrounding tissue requires the exact knowledge of the target’s position. The cyclic respiratory organ motion renders targeting challenging, as the treatment focus has to be continuously adapted according to the current target’s displacement in 3D space. In this paper, a combination of a patient-specific dynamic breath model and a population-based statistical motion model is used to compensate for the respiratory induced organ motion. The application of a population based statistical motion model replaces the acquisition of a patient-specific 3D motion model, nevertheless allowing for precise motion compensation.
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
Note:Also published in: Lecture notes in computer science. - Berlin : Springer. - 7330 (2012), S. 54-63 -- 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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