Unsupervised Cone-Beam artifact removal using CycleGAN and spectral blending for adaptive radiotherapy

S Park, JC Ye - … Symposium on Biomedical Imaging (ISBI), 2020 - ieeexplore.ieee.org
Cone-beam computed tomography (CBCT) used in radiotherapy … of the poor image quality
compared to fan-beam computed to… in the absence of paired images, a cycle consistency …

An unsupervised deep learning network model for artifact correction of cone-beam computed tomography images

W Zhang, H Ding, H Xu, MM Jin, G Huang - Biomedical Signal Processing …, 2024 - Elsevier
cycle-consistent generative adversarial network (CycleGAN) is … However, CBCT and PCT
images cannot be perfectly matched … The results of quantitative and qualitative analyses are …

Cone-beam computed tomography (CBCT) and CT image registration aided by CBCT-based synthetic CT

Y Fu, Y Lei, Y Liu, T Wang, WJ Curran… - Medical imaging …, 2020 - spiedigitallibrary.org
… reduce image artifacts and perform intensity correction prior to … moving images were calculated
to quantitatively evaluate the … Cycle-GAN was trained using paired CBCT and CT images

Generating synthesized computed tomography from CBCT using a conditional generative adversarial network for head and neck cancer patients

Y Zhang, S Ding, X Gong, X Yuan… - Technology in …, 2022 - journals.sagepub.com
… of 120 paired cone-beam computed tomography and computed … from cone-beam computed
tomography images to pair planning … It can be used effectively for quantitative applications in …

Deep learning-based thoracic CBCT correction with histogram matching

RLJ Qiu, Y Lei, J Shelton, K Higgins… - Biomedical physics …, 2021 - iopscience.iop.org
cone-beam computed tomography (CBCT)-based image-… Unlike the original Cycle-GAN
implementation, we used paired … clinical cone beam CT images of the thorax acquired for image

A generalized image quality improvement strategy of cone-beam CT using multiple spectral CT labels in Pix2pix GAN

Y Jiang, Y Zhang, C Luo, P Yang, J Wang… - Physics in Medicine …, 2022 - iopscience.iop.org
quantitative and routine imaging capabilities of cone-beam … the anatomy in the images
before and after the proposed correction. The … We apply the paired mimicked scatter-contaminated …

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
… independent paired CT and CBCT datasets of a kV imaging … -based ART is insufficient
cone-beam computed tomography … The deformed structures (D) on the sCT were quantitatively

QCBCT-NET for direct measurement of bone mineral density from quantitative cone-beam CT: A human skull phantom study

TH Yong, S Yang, SJ Lee, C Park, JE Kim, KH Huh… - Scientific Reports, 2021 - nature.com
… Many methods for correcting CBCT images with high quality … the CYC_CBCT images
produced by Cycle-GAN and U_CBCT images … We used paired training data in the Cycle-GAN

Image Quality Improvement for Chest Four-Dimensional Cone-Beam Computed Tomography by Cycle-Generative Adversarial Network

K USUI, K OGAWA, M GOTO, Y SAKANO… - Medical Imaging …, 2022 - jstage.jst.go.jp
… -GAN) and evaluate these images by a quantitative index. In … Many CBCT image correction
methods have existed such as … The Cycle-GAN method can be used in non-paired training …

Imaging study of pseudo-CT synthesized from cone-beam CT based on 3D CycleGAN in radiotherapy

H Sun, R Fan, C Li, Z Lu, K Xie, X Ni, J Yang - Frontiers in oncology, 2021 - frontiersin.org
… used for the correction of HU values in CBCT images. The … registration based on bone
landmarks on CT-CBCT image pairs … The first quantitative index is NMI, which is used to evaluate …