slice depth mlc model elekta agility f igure 4 example (Elekta)
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Elekta
slice depth mlc model elekta agility f igure 4 example
Slice Depth Mlc Model Elekta Agility F Igure 4 Example, supplied by Elekta, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/slice+depth+mlc+model+elekta+agility+f+igure+4+example/agility+mlc/pm41840888-85-151-155
Average 86 stars, based on 1 article reviews
Slice Depth Mlc Model Elekta Agility F Igure 4 Example, supplied by Elekta, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/slice+depth+mlc+model+elekta+agility+f+igure+4+example/agility+mlc/pm41840888-85-151-155
Average 86 stars, based on 1 article reviews
slice depth mlc model elekta agility f igure 4 example - by Bioz Stars,
2026-10
86/100 stars
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Generated:Article Title: Deep learning-based upsampling of 2D detector array measurements for patient plan verification in radiotherapy. Article Snippet: .. Field shapes 67% spot openings generated by sampling in-field points and fitting the MLC leaves to them 22% rectangular fields 11% random MLC patterns Maximum field size 330 mm x 330 mm Gantry angle 20% at 0◦ 80% uniform sampling from −18◦ to 18◦ Collimator angle 20% uniform sampling in the range [−180◦, 180◦] 20% at 0◦ 20% discrete sampling at −90◦, 90◦ and 180◦ 20% discrete sampling at −135◦,−45◦, 45◦ and 135◦ 20% normal distribution (σ = 11.25◦) around discrete sample of −135◦,−90◦,−45◦, 0◦, 45◦, 90◦, 135◦ and 180◦ Couch angle 90% at 0◦ 10% same procedure as gantry angle MU count Uniform sampling from 50 MU to 150 MU Beam Model Nominal energy: sampled from generalized extreme value distribution with (mu = 7 MeV, sigma = 6 MeV, eta = 0.1 MeV) truncated to14,15 MeV Source-to-surface distance 80 cm Source-to-detector distance 80–120 cm (in 1.67 mm steps depending on Sampling:Article Title: Deep learning-based upsampling of 2D detector array measurements for patient plan verification in radiotherapy. Article Snippet: .. Field shapes 67% spot openings generated by sampling in-field points and fitting the MLC leaves to them 22% rectangular fields 11% random MLC patterns Maximum field size 330 mm x 330 mm Gantry angle 20% at 0◦ 80% uniform sampling from −18◦ to 18◦ Collimator angle 20% uniform sampling in the range [−180◦, 180◦] 20% at 0◦ 20% discrete sampling at −90◦, 90◦ and 180◦ 20% discrete sampling at −135◦,−45◦, 45◦ and 135◦ 20% normal distribution (σ = 11.25◦) around discrete sample of −135◦,−90◦,−45◦, 0◦, 45◦, 90◦, 135◦ and 180◦ Couch angle 90% at 0◦ 10% same procedure as gantry angle MU count Uniform sampling from 50 MU to 150 MU Beam Model Nominal energy: sampled from generalized extreme value distribution with (mu = 7 MeV, sigma = 6 MeV, eta = 0.1 MeV) truncated to14,15 MeV Source-to-surface distance 80 cm Source-to-detector distance 80–120 cm (in 1.67 mm steps depending on |