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  Model-Based Respiratory Motion Compensation in MRgHIFU

Arnold, P., Preiswerk, F., Fasel, B., Salomir, R., Scheffler, K., & Cattin, P. (2012). Model-Based Respiratory Motion Compensation in MRgHIFU. In Information Processing in Computer-Assisted Interventions (pp. 54-63). Berlin, Germany: Springer.

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 Creators:
Arnold, P, Author
Preiswerk, F, Author
Fasel, B, Author
Salomir, R, Author
Scheffler, K1, Author           
Cattin, P, Author
Affiliations:
1Department of Neuroimaging, University of Tuebingen, ou_persistent22              

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 Abstract: 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.

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 Dates: 2012-06
 Publication Status: Issued
 Pages: -
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 Rev. Type: -
 Identifiers: DOI: 10.1007/978-3-642-30618-1_6
 Degree: -

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Title: Third International Conference on Information Processing in Computer-Assisted Interventions (IPCAI 2012)
Place of Event: Pisa, Italy
Start-/End Date: 2012-06-27

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Title: Information Processing in Computer-Assisted Interventions
Source Genre: Proceedings
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Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 54 - 63 Identifier: ISBN: 978-3-642-30617-4

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Pages: - Volume / Issue: 7330 Sequence Number: - Start / End Page: - Identifier: -