Explicitly encoding the cyclic nature of breathing signal allows for accurate breathing motion prediction in radiotherapy with minimal training data.

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作者： Andreas,Renner ^[1] ; Ingo,Gulyas ^[2] ; Martin,Buschmann ^[1] ; Gerd,Heilemann ^[3] ; Barbara,Knäusl ^[1] ; Martin,Heilmann ^[1] ; Joachim,Widder ^[2] ; Dietmar,Georg ^[1] ; Petra,Trnková ^[2]

作者单位： Department of Radiation Oncology, Medical University of Vienna, Vienna, Austria. ^[1] Christian Doppler Laboratory for Image and Knowledge Driven Precision Radiation Oncology, Department of Radiation Oncology, Medical University of Vienna, Austria. ^[2] MedAustron Ion Therapy Center, Wiener Neustadt, Austria. ^[3]

关键词 4D image guidance Intrafractional motion Long short-term memory network Motion prediction Real-time tumour motion monitoring

DOI 10.1016/j.phro.2024.100594

PMID 38883146

发布时间 2024-06-18

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Physics and imaging in radiation oncology

2024年30卷

100594页

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Explicitly encoding the cyclic nature of breathing signal allows for accurate breathing motion prediction in radiotherapy with minimal training data.

Physics and imaging in radiation oncology

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Physics and imaging in radiation oncology

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Explicitly encoding the cyclic nature of breathing signal allows for accurate breathing motion prediction in radiotherapy with minimal training data.

Physics and imaging in radiation oncology

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Physics and imaging in radiation oncology

相关期刊

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