Evaluation of a cycle-generative adversarial network-based cone-beam CT to synthetic CT conversion algorithm for adaptive radiation therapy

M Eckl, L Hoppen, GR Sarria, J Boda-Heggemann… - Physica Medica, 2020 - Elsevier
Purpose Image-guided radiation therapy could benefit from implementing adaptive radiation
therapy (ART) techniques. A cycle-generative adversarial network (cycle-GAN)-based cone …

Generating synthesized computed tomography (CT) from cone-beam computed tomography (CBCT) using CycleGAN for adaptive radiation therapy

X Liang, L Chen, D Nguyen, Z Zhou, X Gu… - Physics in Medicine …, 2019 - iopscience.iop.org
Throughout the course of delivering a radiation therapy treatment, which may take several
weeks, a patient's anatomy may change drastically, and adaptive radiation therapy (ART) …

Assessment of CBCT–based synthetic CT generation accuracy for adaptive radiotherapy planning

CJ O'Hara, D Bird, B Al‐Qaisieh… - Journal of applied …, 2022 - Wiley Online Library
Abstract Purpose Cone‐beam CT (CBCT)–based synthetic CT (sCT) dose calculation has
the potential to make the adaptive radiotherapy (ART) pathway more efficient while …

Generating synthetic CT from low-dose cone-beam CT by using generative adversarial networks for adaptive radiotherapy

L Gao, K Xie, X Wu, Z Lu, C Li, J Sun, T Lin, J Sui… - Radiation Oncology, 2021 - Springer
Objective To develop high-quality synthetic CT (sCT) generation method from low-dose
cone-beam CT (CBCT) images by using attention-guided generative adversarial networks …

A more effective CT synthesizer using transformers for cone-beam CT-guided adaptive radiotherapy

X Chen, Y Liu, B Yang, J Zhu, S Yuan, X Xie… - Frontiers in …, 2022 - frontiersin.org
Purpose The challenge of cone-beam computed tomography (CBCT) is its low image
quality, which limits its application for adaptive radiotherapy (ART). Despite recent …

Improving generalization in MR‐to‐CT synthesis in radiotherapy by using an augmented cycle generative adversarial network with unpaired data

KND Brou Boni, J Klein, A Gulyban, N Reynaert… - Medical …, 2021 - Wiley Online Library
Purpose MR‐to‐CT synthesis is one of the first steps in the establishment of an MRI‐only
workflow in radiotherapy. Current MR‐to‐CT synthesis methods in deep learning use …

Streaking artifact reduction for CBCT‐based synthetic CT generation in adaptive radiotherapy

L Gao, K Xie, J Sun, T Lin, J Sui, G Yang… - Medical Physics, 2023 - Wiley Online Library
Background Cone‐beam computed tomography (CBCT) is widely used for daily image
guidance in radiation therapy, enhancing the reproducibility of patient setup. However, its …

Synthetic CT generation from CBCT images via unsupervised deep learning

L Chen, X Liang, C Shen, D Nguyen… - Physics in Medicine & …, 2021 - iopscience.iop.org
Abstract Adaptive-radiation-therapy (ART) is applied to account for anatomical variations
observed over the treatment course. Daily or weekly cone-beam computed tomography …

Review of cone beam computed tomography based online adaptive radiotherapy: Current trend and future direction

H Liu, D Schaal, H Curry, R Clark, A Magliari… - Radiation …, 2023 - Springer
Adaptive radiotherapy (ART) was introduced in the late 1990s to improve the accuracy and
efficiency of therapy and minimize radiation-induced toxicities. ART combines multiple tools …

MV CBCT-based synthetic CT generation using a deep learning method for rectal cancer adaptive radiotherapy

J Zhao, Z Chen, J Wang, F Xia, J Peng, Y Hu… - Frontiers in …, 2021 - frontiersin.org
Due to image quality limitations, online Megavoltage cone beam CT (MV CBCT), which
represents real online patient anatomy, cannot be used to perform adaptive radiotherapy …