Clinical comparison of adaptive 4DCBCT scanning protocols for lung tumor motion assessment [0.03%]
自适应四维锥形束CT扫描方案的临床比较研究及其在肺癌肿瘤运动评估中的应用
Sadia Sana,Owen Dillon,Ricky T O&#x;Brien
Sadia Sana
Background: Adaptive four-dimensional cone beam computed tomography (4DCBCT) has been proposed as a novel method to reduce imaging dose and scan time. This technology involves both adaptive imaging and motion-compensated ...
Comparative Study
Journal of applied clinical medical physics. 2025 Jul;26(7):e70172. DOI:10.1002/acm2.70172 2025
The edge visualization metric: Quantifying the improvement of lung SBRT target definition with 4D CBCT [0.03%]
边缘可视化度量：使用四维CBCT量化肺癌SBRT靶区定义的改善程度
Colton Baley,Sam Andersen,Clark Anderson et al.
Colton Baley et al.
Purpose: Four-dimensional cone-beam CT (4D CBCT) incorporates oversampling of 3D data to reconstruct multi-phase CBCT data sets representing distinct phases of the breathing cycle based on a diaphragmatic correlate of res...
MBST-Driven 4D-CBCT reconstruction: Leveraging swin transformer and masking for robust performance [0.03%]
基于SWIN变压器和掩码的MBST驱动的4D-CBCT重建：实现鲁棒性性能
Nannan Cao,Qilin Li,Kangkang Sun et al.
Nannan Cao et al.
Objective: This research developed an innovative Mask-based Swin Transformer network (MBST) to enhance the quality of 4D cone-beam computed tomography (4D-CBCT) reconstruction. The network is trained on 4D-CBCT reconstruc...
Machine Learning-Based X-Ray Projection Interpolation for Improved 4D-CBCT Reconstruction [0.03%]
基于机器学习的X射线投影插值，用于改进四维锥形束CT重建技术
Jayroop Ramesh,Donthi Sankalpa,Rohan Mitra et al.
Jayroop Ramesh et al.
Goal: Respiration-correlated cone-beam computed tomography (4D-CBCT) is an X-ray-based imaging modality that uses reconstruction algorithms to produce time-varying volumetric images of moving anatomy over a cycle of respiratory motion. The ...
DPI-MoCo: Deep Prior Image Constrained Motion Compensation Reconstruction for 4D CBCT [0.03%]
基于深度先验图像约束的4DCBCT运动校正重建方法(DPI-MoCo)
Dianlin Hu,ChenCheng Zhang,Xuanjia Fei et al.
Dianlin Hu et al.
4D cone-beam computed tomography (CBCT) plays a critical role in adaptive radiation therapy for lung cancer. However, extremely sparse sampling projection data will cause severe streak artifacts in 4D CBCT images. Existing deep learning (DL...
Spatiotemporal correlation enhanced real-time 4D-CBCT imaging using convolutional LSTM networks [0.03%]
基于卷积LSTM网络的时空关联增强型实时4DCBCT成像
Hua Zhang,Kai Chen,Xiaotong Xu et al.
Hua Zhang et al.
Purpose: To enhance the accuracy of real-time four-dimensional cone beam CT (4D-CBCT) imaging by incorporating spatiotemporal correlation from the sequential projection image into the single projection-based 4D-CBCT estim...
On-board synthetic 4D MRI generation from 4D CBCT for radiotherapy of abdominal tumors: A feasibility study [0.03%]
基于4DCBCT的腹部肿瘤放射治疗的合成4DMRI生成方法的可行性研究
Paulo Quintero,Can Wu,Ricardo Otazo et al.
Paulo Quintero et al.
Background: Magnetic resonance-guided radiotherapy with an MR-guided LINAC represents potential clinical benefits in abdominal treatments due to the superior soft-tissue contrast compared to kV-based images in conventiona...
A review on 4D cone-beam CT (4D-CBCT) in radiation therapy: Technical advances and clinical applications [0.03%]
四维锥形束CT（4D-CBCT）在放射治疗中的技术进展及临床应用综述
Yawei Zhang,Zhuoran Jiang,You Zhang et al.
Yawei Zhang et al.
Cone-beam CT (CBCT) is the most commonly used onboard imaging technique for target localization in radiation therapy. Conventional 3D CBCT acquires x-ray cone-beam projections at multiple angles around the patient to reconstruct 3D images o...
A 4D-CBCT correction network based on contrastive learning for dose calculation in lung cancer [0.03%]
基于对比学习的用于肺癌剂量计算的4DCBCT修正网络
Nannan Cao,Ziyi Wang,Jiangyi Ding et al.
Nannan Cao et al.
Objective: This study aimed to present a deep-learning network called contrastive learning-based cycle generative adversarial networks (CLCGAN) to mitigate streak artifacts and correct the CT value in four-dimensional con...
Evaluation of target volume and dose accuracy in intrafractional cases of lung cancer based on 4D-CT and 4D-CBCT images using an in-house dynamic thorax phantom [0.03%]
基于4D-CT和4D-CBCT图像的肺癌体内外束放射治疗靶区体积及剂量准确性评估模型研究
Firyal Dhiyaul Haqqi,Arief Sudarmaji,Wahyu Edy Wibowo et al.
Firyal Dhiyaul Haqqi et al.
Background: This study aimed to evaluate the target volume and dose accuracy in intrafraction cases using 4-dimensional imaging modalities and an in-house dynamic thorax phantom. Intrafraction motion can create errors in ...
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