Results 231 to 240 of about 1,024,330 (333)
Abstract Purpose This study compares the dosimetric accuracy of deep‐learning‐based MR synthetic CT (sCT) in brain radiotherapy between the Analytical Anisotropic Algorithm (AAA) and AcurosXB (AXB). Additionally, it proposes a novel metric to predict the dosimetric accuracy of sCT for individual post‐surgical brain cases.
Jeffrey C. F. Lui+3 more
wiley +1 more source
Layer-specific residual strains in human carotid arteries revealed under layer separation. [PDF]
Hrubanová A+5 more
europepmc +1 more source
Abstract Background The dose‐averaged linear energy transfer (LETD) in proton therapy (PT) has in pre‐clinical studies been linked to the relative biological effectiveness (RBE) of protons. Until recently, the most common PT delivery method in prostate cancer has been double‐scattered PT, with LETD only available through dedicated Monte Carlo (MC ...
Rasmus Klitgaard+7 more
wiley +1 more source
Estimating railway track curvature using gyroscope and GPS sensors. [PDF]
Zhou Y, Yang Y, Ren Z, Hecht M.
europepmc +1 more source
A review of artificial intelligence in brachytherapy
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen+4 more
wiley +1 more source
Reprogrammable curved-straight origami: Multimorphability and volumetric tunability. [PDF]
Mirzajanzadeh M, Pasini D.
europepmc +1 more source
Abstract The thermoluminescence dosimeter (TLD) sheet is a measurement device coated with manganese‐doped LiB3O5 in sheet form. The sheet is 0.2‐mm thick and flexible. Hence, it can fit and be installed on irregular surfaces. The current study aimed to evaluate the feasibility of measuring patient surface doses during radiation therapy using TLD sheets.
Yuya Miyasaka+8 more
wiley +1 more source
Three-dimensional analysis of root canal curvature in maxillary premolars using CBCT images. [PDF]
Jeong H, Jeon KJ, Han SS.
europepmc +1 more source