Das Suchergebnis hat sich seit Ihrer Suchanfrage verändert. Eventuell werden Dokumente in anderer Reihenfolge angezeigt.
  • Treffer 1 von 14
Zurück zur Trefferliste

A multi-institution evaluation of deformable image registration algorithms for automatic organ delineation in adaptive head and neck radiotherapy

Zitieren Sie bitte immer diese URN: urn:nbn:de:bvb:20-opus-134756
  • Background: Adaptive Radiotherapy aims to identify anatomical deviations during a radiotherapy course and modify the treatment plan to maintain treatment objectives. This requires regions of interest (ROIs) to be defined using the most recent imaging data. This study investigates the clinical utility of using deformable image registration (DIR) to automatically propagate ROIs. Methods: Target (GTV) and organ-at-risk (OAR) ROIs were non-rigidly propagated from a planning CT scan to a per-treatment CT scan for 22 patients. Propagated ROIs wereBackground: Adaptive Radiotherapy aims to identify anatomical deviations during a radiotherapy course and modify the treatment plan to maintain treatment objectives. This requires regions of interest (ROIs) to be defined using the most recent imaging data. This study investigates the clinical utility of using deformable image registration (DIR) to automatically propagate ROIs. Methods: Target (GTV) and organ-at-risk (OAR) ROIs were non-rigidly propagated from a planning CT scan to a per-treatment CT scan for 22 patients. Propagated ROIs were quantitatively compared with expert physician-drawn ROIs on the per-treatment scan using Dice scores and mean slicewise Hausdorff distances, and center of mass distances for GTVs. The propagated ROIs were qualitatively examined by experts and scored based on their clinical utility. Results: Good agreement between the DIR-propagated ROIs and expert-drawn ROIs was observed based on the metrics used. 94% of all ROIs generated using DIR were scored as being clinically useful, requiring minimal or no edits. However, 27% (12/44) of the GTVs required major edits. Conclusion: DIR was successfully used on 22 patients to propagate target and OAR structures for ART with good anatomical agreement for OARs. It is recommended that propagated target structures be thoroughly reviewed by the treating physician.zeige mehrzeige weniger

Volltext Dateien herunterladen

Metadaten exportieren

Weitere Dienste

Teilen auf Twitter Suche bei Google Scholar Statistik - Anzahl der Zugriffe auf das Dokument
Metadaten
Autor(en): Nicholas Hardcastle, Wolfgang A. Tomé, Donald M. Cannon, Charlotte L. Brouwer, Paul W. H. Wittendorp, Nesrin Dogan, Matthias Guckenberger, Stéphane Allaire, Yogish Mallya, Prashant Kumar, Markus Oechsner, Anne Richter, Shiyu Song, Michael Myers, Bülent Polat, Karl Bzdusek
URN:urn:nbn:de:bvb:20-opus-134756
Dokumentart:Artikel / Aufsatz in einer Zeitschrift
Institute der Universität:Medizinische Fakultät / Klinik und Poliklinik für Strahlentherapie
Sprache der Veröffentlichung:Englisch
Titel des übergeordneten Werkes / der Zeitschrift (Englisch):Radiation Oncology
Erscheinungsjahr:2012
Band / Jahrgang:7
Heft / Ausgabe:90
Originalveröffentlichung / Quelle:Radiation Oncology 2012, 7:90. doi:10.1186/1748-717X-7-90
DOI:https://doi.org/10.1186/1748-717X-7-90
Allgemeine fachliche Zuordnung (DDC-Klassifikation):6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Freie Schlagwort(e):cancer; intensity-modulated radiotherapy; megavoltage computed-tomography; risk; strategies; variability
Datum der Freischaltung:17.12.2017
Lizenz (Deutsch):License LogoCC BY: Creative-Commons-Lizenz: Namensnennung