Beam mask and sliding window‐facilitated deep learning‐based accurate and efficient dose prediction for pencil beam scanning proton therapy

Background Accurate and efficient dose calculation is essential for on‐line adaptive planning in proton therapy. Deep learning (DL) has shown promising dose prediction results in photon therapy. However, there is a scarcity of DL‐based dose prediction methods specifically designed for proton therapy...

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Veröffentlicht in:	Medical physics (Lancaster) 2024-02, Vol.51 (2), p.1484-1498
Hauptverfasser:	Zhang, Lian, Holmes, Jason M., Liu, Zhengliang, Vora, Sujay A., Sio, Terence T., Vargas, Carlos E., Yu, Nathan Y., Keole, Sameer R., Schild, Steven E., Bues, Martin, Li, Sheng, Liu, Tianming, Shen, Jiajian, Wong, William W., Liu, Wei
Format:	Artikel
Sprache:	eng
Schlagworte:	Deep Learning Humans Lung Neoplasms - diagnostic imaging Lung Neoplasms - radiotherapy Lung Neoplasms - surgery Male Prostatic Neoplasms - radiotherapy Proton Therapy Protons Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted - methods Radiotherapy, Intensity-Modulated - methods
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