Potential of quantitative X-ray imaging from photon-counting CT: A novel analysis based on effective atomic number and physical density [0.03%]
基于有效原子序数和物理密度的光子计数CT定量X射线成像潜力的新分析方法研究
Takashi Asahara,Rina Nishigami,Natsumi Kimoto et al.
Takashi Asahara et al.
Background: Conventional CT assessment of lung lesions is based mainly on morphological features. CT values represent relative X-ray attenuation that does not directly reflect tissue composition and/or physical density. Q...
Effects of air on the dosimetric robustness of treatment plans for prostate cancer in the presence of intrafractional, anatomical changes during online adaptive radiotherapy [0.03%]
呼吸空气对在线自适应放射治疗前列腺癌过程中由于呼吸引起的解剖结构变化的剂量学鲁棒性的影响研究
Nika Guberina,Aymane Khouya,Alina Santiago Garcia et al.
Nika Guberina et al.
Background: In the online adaptive platform, a linear Boltzmann-transport-equation-solver (LBTE) as calculation algorithm is implemented for dose optimization. This class-C-optimizer is known to counteract the dose decrea...
FS-Mamba: Feature-wise scanning Mamba UNet for automatic image segmentation in liver tumor radiotherapy [0.03%]
基于特征扫描的Mamba U-Net在肝脏肿瘤放疗自动图像分割中的应用
Peijun Yin,Xueren Zhang,Xin Liu et al.
Peijun Yin et al.
Background: Medical image segmentation is fundamental to radiotherapy planning, yet accurate delineation of organs at risk and tumor targets remain challenging due to anatomical variability and low soft-tissue contrast in...
Effect of wearing a brassiere during low-dose chest CT for lung cancer screening [0.03%]
低剂量胸部CT肺癌筛查中穿着胸罩的影响
Michal Cech,Eva Kocova,Iva Milerska et al.
Michal Cech et al.
Objective: To assess the impact of wearing a brassiere during low-dose chest CT (LDCT) examination on image quality and radiation dose. Methods: ...
Comparative Study
Journal of applied clinical medical physics. 2026 Jul;27(7):e70679. DOI:10.1002/acm2.70679 2026
Feasibility study of three-dimensional dose prediction of esophageal cancer radiotherapy based on CGAN [0.03%]
基于CGAN的食管癌放射治疗三维剂量预测可行性研究
Qichao Hu,Yanrui Li,Youyi Tao et al.
Qichao Hu et al.
Objective: To evaluate the feasibility of a Conditional Generative Adversarial Network (CGAN)-based model (2UDCNN-AT-GAN) for predicting 3D radiotherapy dose distributions in esophageal cancer, and to assess its potential...
Longitudinal CT number characterization of a novel upright CT for proton therapy planning [0.03%]
一种新型立式CT在质子治疗计划中的纵向CT值表征研究
Yuhao Yan,Jordan M Slagowski,Jessica R Miller et al.
Yuhao Yan et al.
Background: The combination of upright CT and patient positioner for particle therapy presents potential for high precision image-guided radiation therapy and online adaptive radiation therapy, where reliable CT performan...
Development and evaluation of an automated report-based chart checking tool in external beam radiotherapy [0.03%]
基于报告的外部束放射治疗自动图表核查工具的研发及评估研究
Oleksii Semeniuk,Andrew J Wroe
Oleksii Semeniuk
Background: Computerized radiotherapy chart checking tools have revolutionized the initial physics chart review process as they offer verification of large amounts of plan parameters in seconds and allow physicists to con...
Geometric distortion in computed tomography scans for radiotherapy: Quantification and quality assurance implications [0.03%]
放射治疗计算断层摄影扫描的几何失真：量化与质量保证意义
Yunfei Hu,Emma Cai,John Shakeshaft et al.
Yunfei Hu et al.
Background: Computed tomography (CT) is widely assumed to be geometrically accurate and is commonly used as the reference standard for quantifying geometric distortion in other imaging modalities, particularly magnetic re...
Keita Okazaki,Eric Brost,Gopishankar Natanasabapathi et al.
Keita Okazaki et al.
Background: The intra-fraction motion of tumors during radiation therapy can be monitored using imaging systems based on X-ray imaging (e.g., kV/MV radiography or CBCT) or magnetic resonance imaging (MRI). However, these ...
Software engineers develop better clinical applications than physicists with coding skills [0.03%]
软件工程师比那些只会编程的物理学家开发出更好的临床应用软件
Douglas Moseley,Yang Kyun Park,Dongxu Wang
Douglas Moseley