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Single proton LET characterization with the Timepix detector and artificial intelligence for advanced proton therapy treatment planning.

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第一作者： Paulina,Stasica

第一单位： Institute of Nuclear Physics Polish Academy of Sciences, PL-31342 Krakow, Poland.

作者： Paulina,Stasica ^[1] ; Hanh,Nguyen ^[2] ; Carlos,Granja ^[3] ; Renata,Kopeć ^[1] ; Lukas,Marek ^[4] ; Cristina,Oancea ^[5] ; Łukasz,Raczyński ^[1] ; Antoni,Rucinski ^[1] ; Marzena,Rydygier ^[1] ; Keith,Schubert ^[2] ; Reinhard,Schulte ^[6] ; Jan,Gajewski ^[1]

作者单位： Institute of Nuclear Physics Polish Academy of Sciences, PL-31342 Krakow, Poland. ^[1] Baylor University, Waco, TX 76706, Texas, United States of America. ^[2] ADVACAM, Prague, 17000, Czech Republic. ^[3] ADVACAM, Prague, 17000, Czech Republic.;Faculty of Mathematics and Physics, Charles University, Prague, 18000, Czech Republic. ^[4] ADVACAM, Prague, 17000, Czech Republic.;University of Bucharest, Bucharest, Romania. ^[5] Loma Linda University, Loma Linda, CA 92350, California, United States of America. ^[6]

关键词 Monte Carlo simulations Timepix artificial neural networks linear energy transfer particle tracking proton therapy relative biological effectiveness

医学主题词人类(Humans);质子(Protons);人工智能(Artificial Intelligence);传能线密度(Linear Energy Transfer);放射治疗剂量(Radiotherapy Dosage);蒙特卡罗法(Monte Carlo Method);放射测量术(Radiometry)

DOI 10.1088/1361-6560/acc9f8

PMID 37011632

发布时间 2023-05-09

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