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A diffeomorphic framework for surrogate-based motion estimation in radiation therapy: Concept and first evaluation

dc.contributor.authorWerner, René
dc.contributor.authorEhrhardt, Jan
dc.contributor.authorSchmidt-Richberg, Alexander
dc.contributor.authorWilms, Matthias
dc.contributor.authorBlendowski, Maximilian
dc.contributor.authorHandels, Heinz
dc.contributor.editorGoltz, Ursula
dc.contributor.editorMagnor, Marcus
dc.contributor.editorAppelrath, Hans-Jürgen
dc.contributor.editorMatthies, Herbert K.
dc.contributor.editorBalke, Wolf-Tilo
dc.contributor.editorWolf, Lars
dc.date.accessioned2018-11-06T10:57:53Z
dc.date.available2018-11-06T10:57:53Z
dc.date.issued2012
dc.description.abstractRespiratory motion is a major obstacle in radiation therapy of thoracic and abdominal tumors. Techniques to cope with it such as gating and tracking techniques are based on the use of breathing signals that can be acquired easily and in real-time. These signals represent only surrogates of the motion of the inner organs and tumors. Consequently, methods are needed to estimate respiratory motion patterns of the internal structures based on surrogate measurements. In this contribution, a diffeomorphic framework based on a multi-linear regression and the Log-Euclidean framework recently introduced in the context of diffeomorphic registration is proposed to establish such a correspondence model. The feasibility of the approach is demonstrated by means of a leave-out evaluation using 4D CT image sequences of ten lung tumor patients and simulating three different types of breathing signals: spirometry records, tracking motion of points on the diaphragm, and assessing the raising/lifting of chest wall points.en
dc.identifier.isbn978-3-88579-602-2
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/17814
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2012
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-208
dc.titleA diffeomorphic framework for surrogate-based motion estimation in radiation therapy: Concept and first evaluationen
dc.typeText/Conference Paper
gi.citation.endPage1784
gi.citation.publisherPlaceBonn
gi.citation.startPage1774
gi.conference.date16.-21. September 2012
gi.conference.locationBraunschweig
gi.conference.sessiontitleRegular Research Papers

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