|
adaptive proton therapy |
1 |
|
anthropomorphic phantom |
1 |
|
automated planning |
1 |
|
beam-blocker |
1 |
|
breast shape estimation |
1 |
|
cbct |
1 |
|
cnn |
1 |
|
computational modeling |
1 |
|
computational phantoms |
1 |
|
cone-beam computed tomography (cbct) |
1 |
|
cone-beam ct |
1 |
|
convolutional neural network |
1 |
|
convolutional-neural-network |
1 |
|
data consistency |
1 |
|
deconvolution method |
1 |
|
deep learning |
1 |
|
deep-neural-network |
1 |
|
digital breast tomosynthesis |
1 |
|
discrete tomography |
1 |
|
dose restoration |
1 |
|
dual-energy x-ray imaging |
1 |
|
graphic processing unit |
1 |
|
head and neck phantom |
1 |
|
image reconstruction |
1 |
|
intensity-modulated proton therapy |
1 |
|
interfractional body surface changes |
1 |
|
interior tomography |
1 |
|
inverse optimization |
1 |
|
inverse problem |
1 |
|
knowledge-based planning |
1 |
|
let measurement |
1 |
|
low-dose computed tomography (ct) |
1 |
|
material decomposition |
1 |
|
medical imaging |
1 |
|
megavoltage image-difference reconstruction |
1 |
|
monte carlo |
1 |
|
monte carlo dose calculation |
1 |
|
motion compensation |
1 |
|
multi-institutional experiment |
1 |
|
offset detector |
1 |
|
online adaptive radiotherapy |
1 |
|
open data |
1 |
|
optically stimulated luminescence |
1 |
|
optimization |
1 |
|
osld |
1 |
|
out-of-field dose |
1 |
|
pediatric solid tumors |
1 |
|
peripheral equalization |
1 |
|
plan reoptimization |
1 |
|
positron emission tomography |
1 |
|
prompt gamma |
1 |
|
proton dosimetry |
1 |
|
proton therapy |
1 |
|
proton therapy dosimetry |
1 |
|
radiotherapy |
1 |
|
rnn |
1 |
|
robotic couch |
1 |
|
scatter correction |
1 |
|
second cancer risk |
1 |
|
sinogram synthesis |
1 |
|
sparse-view ct |
1 |
|
sparsely-sampled ct |
1 |
|
synthetic ct |
1 |
|
thickness correction |
1 |
|
transit image calculations |
1 |
|
transit imaging |
1 |
|
truncation artifact |
1 |
|
view interpolation |
1 |
|
view-interpolation |
1 |
|
water equivalent path length |
1 |
