Examination of a deformable motion model for respiratory movements and 4D dose calculations using different driving surrogates
2017; Wiley; Volume: 44; Issue: 6 Linguagem: Inglês
10.1002/mp.12243
ISSN2473-4209
AutoresJens Wölfelschneider, Matteo Seregni, Aurora Fassi, Marc Ziégler, G. Baroni, Rainer Fietkau, Marco Riboldi, Christoph Bert,
Tópico(s)Medical Imaging Techniques and Applications
ResumoMedical PhysicsVolume 44, Issue 6 p. 2066-2076 Research Article Examination of a deformable motion model for respiratory movements and 4D dose calculations using different driving surrogates Jens Wölfelschneider, Jens Wölfelschneider Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054 Erlangen, GermanyBoth authors contributed equally to the paper.Search for more papers by this authorMatteo Seregni, Matteo Seregni Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milan, ItalyBoth authors contributed equally to the paper.Search for more papers by this authorAurora Fassi, Aurora Fassi Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milan, ItalySearch for more papers by this authorMarc Ziegler, Marc Ziegler Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054 Erlangen, GermanySearch for more papers by this authorGuido Baroni, Guido Baroni Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milan, ItalySearch for more papers by this authorRainer Fietkau, Rainer Fietkau Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054 Erlangen, GermanySearch for more papers by this authorMarco Riboldi, Marco Riboldi Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milan, ItalySearch for more papers by this authorChristoph Bert, Corresponding Author Christoph Bert christoph.bert@uk-erlangen.de Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054 Erlangen, GermanyAuthor to whom correspondence should be addressed. Electronic mail: christoph.bert@uk-erlangen.de; Tel: (+49) 9131 85 44213.Search for more papers by this author Jens Wölfelschneider, Jens Wölfelschneider Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054 Erlangen, GermanyBoth authors contributed equally to the paper.Search for more papers by this authorMatteo Seregni, Matteo Seregni Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milan, ItalyBoth authors contributed equally to the paper.Search for more papers by this authorAurora Fassi, Aurora Fassi Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milan, ItalySearch for more papers by this authorMarc Ziegler, Marc Ziegler Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054 Erlangen, GermanySearch for more papers by this authorGuido Baroni, Guido Baroni Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milan, ItalySearch for more papers by this authorRainer Fietkau, Rainer Fietkau Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054 Erlangen, GermanySearch for more papers by this authorMarco Riboldi, Marco Riboldi Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milan, ItalySearch for more papers by this authorChristoph Bert, Corresponding Author Christoph Bert christoph.bert@uk-erlangen.de Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054 Erlangen, GermanyAuthor to whom correspondence should be addressed. Electronic mail: christoph.bert@uk-erlangen.de; Tel: (+49) 9131 85 44213.Search for more papers by this author First published: 30 March 2017 https://doi.org/10.1002/mp.12243Citations: 16 Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Abstract Purpose The aim of this study was to evaluate a surrogate-driven motion model based on four-dimensional computed tomography that is able to predict CT volumes corresponding to arbitrary respiratory phases. Furthermore, the comparison of three different driving surrogates is examined and the feasibility of using the model for 4D dose re-calculation will be discussed. Methods The study is based on repeated 4DCTs of twenty patients treated for bronchial carcinoma and metastasis. The motion model was estimated from the planning 4DCT through deformable image registration. To predict a certain phase of a follow-up 4DCT, the model considers inter-fractional variations (baseline correction) and intra-fractional respiratory parameters (amplitude and phase) derived from surrogates. The estimated volumes resulting from the model were compared to ground-truth clinical 4DCTs using absolute HU differences in the lung region and landmarks localized using the Scale Invariant Feature Transform. Finally, the γ-index was used to evaluate the dosimetric effects of the intensity differences measured between the estimated and the ground-truth CT volumes. Results The results show absolute HU differences between estimated and ground-truth images with median value (± standard deviation) of (61.3 ± 16.7) HU. Median 3D distances, measured on about 400 matching landmarks in each volume, were (2.9 ± 3.0) mm. 3D errors up to 28.2 mm were found for CT images with artifacts or reduced quality. Pass rates for all surrogate approaches were above 98.9% with a γ-criterion of 2%/2 mm. Conclusion The results depend mainly on the image quality of the initial 4DCT and the deformable image registration. All investigated surrogates can be used to estimate follow-up 4DCT phases, however, uncertainties decrease for volumetric approaches. Application of the model for 4D dose calculations is feasible. Citing Literature Supporting Information Filename Description mp12243-sup-0001-FigS1.pdfPDF document, 36.9 KB Figure S1. Signed geometric errors of the SIFT landmarks for all investigated patients along each anatomical direction visualized by boxplots (median, lower and upper quantile, minimum, and maximum). The signed errors are separated into BV (red), SM (blue) and TS (green). mp12243-sup-0002-FigS2.tifimage/tif, 308.2 KB Figure S2. Top: binary volume surrogate as extracted from PCT and FCT. Bottom: phase and amplitude signals derived from surrogates. mp12243-sup-0003-FigS3.tifimage/tif, 654.5 KB Figure S3. Left: green-magenta overlay between PCT and FCT before baseline shift correction. Center: baseline shift vector field. Right: overlay between PCT and FCT after baseline shift correction. mp12243-sup-0004-Legends.docxWord document, 10.3 KB Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article. Volume44, Issue6June 2017Pages 2066-2076 RelatedInformation
Referência(s)