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Published in 2022 at "Medical physics"
DOI: 10.1002/mp.16017
Abstract: BACKGROUND Cone-beam computed tomography (CBCT) is widely used for daily image guidance in radiation therapy, enhancing the reproducibility of patient setup. However, its application in adaptive radiotherapy (ART) is limited by many imaging artifacts and…
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Keywords:
cbct images;
cbct;
sct images;
sarn ... See more keywords
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Published in 2022 at "Acta Oncologica"
DOI: 10.1080/0284186x.2022.2140017
Abstract: Abstract Purpose To develop an advanced deep convolutional neural network (DCNN) architecture to generate synthetic CT (SCT) images from MR images for intensity-modulated proton therapy (IMPT) treatment planning of nasopharyngeal cancer (NPC) patients. Methods T1-weighted…
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Keywords:
intensity modulated;
treatment planning;
sct images;
planning nasopharyngeal ... See more keywords
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Published in 2018 at "Physics in medicine and biology"
DOI: 10.1088/1361-6560/aada6d
Abstract: To enable magnetic resonance (MR)-only radiotherapy and facilitate modelling of radiation attenuation in humans, synthetic CT (sCT) images need to be generated. Considering the application of MR-guided radiotherapy and online adaptive replanning, sCT generation should…
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Keywords:
generative adversarial;
sct images;
network;
radiotherapy ... See more keywords
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2
Published in 2022 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2022.1024160
Abstract: Purpose To develop a metal artifact reduction (MAR) algorithm and eliminate the adverse effects of metal artifacts on imaging diagnosis and radiotherapy dose calculations. Methods Cycle-consistent adversarial network (CycleGAN) was used to generate synthetic CT…
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Keywords:
metal free;
sct images;
metal artifacts;
mvcbct images ... See more keywords