Error detection using a convolutional neural network with dose difference maps in patient-specific quality assurance for volumetric modulated arc therapy

•The CNN model to detect MLC errors for patient-specific VMAT QA is suggested.•The type of MLC error can be classified by analyzing dose difference maps created from the measured and predicted dose map.•Using CNN model may provide an effective solution for detecting MLC errors for patient-specific V...

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Veröffentlicht in:	Physica medica 2020-05, Vol.73, p.57-64
Hauptverfasser:	Kimura, Yuto, Kadoya, Noriyuki, Tomori, Seiji, Oku, Yohei, Jingu, Keiichi
Format:	Artikel
Sprache:	eng
Schlagworte:	Databases, Factual Deep learning Humans Neural Networks, Computer Patient-specific QA Phantoms, Imaging Prostate Quality Assurance, Health Care Radiation Dosage Radiotherapy Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted - methods Radiotherapy, Intensity-Modulated Volumetric modulated radiation therapy
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