Characterization and inter-scanner reproducibility of geometric distortion on a small footprint, high-performance, head-specific 0.5 T scanner [0.03%]
小型足迹，高性能，头部专用0.5T扫描仪几何失真的特征及跨扫描仪再现性研究
Curtis N Wiens,Chad T Harris,Ian R O Connell
Curtis N Wiens
Background: Magnetic resonance imaging (MRI) offers superior soft tissue contrast and essential imaging capabilities for modern medicine. MRI is increasingly being used in applications that require a high degree of spatia...
Proton dose calculation with transformer: Transforming spot map to dose [0.03%]
质子剂量的变压器计算：将布点图转换为剂量
Xueyan Tang,Hok Wan Chan Tseung,Mark D Pepin et al.
Xueyan Tang et al.
Background: Conventional proton dose calculation methods are either time- and resource-intensive, like Monte Carlo (MC) simulations, or they sacrifice accuracy, as seen with analytical methods. This trade-off between comp...
3D segmentation combining spatial and multi-scale features for intracranial aneurysm [0.03%]
颅内动脉瘤的3D分割结合空间和多尺度特征
Xinfeng Zhang,Jie Shao,Xiangsheng Li et al.
Xinfeng Zhang et al.
Background: Traditionally, the diagnosis of intracranial aneurysms has relied on the experience of the doctor in assessing the scanning results of radiological imaging technology, which is subjective and inefficient, and ...
Evaluation of novel detector readout modes for MV scatter reduction on kV images [0.03%]
用于兆伏散射减影在千伏图像上的新型探测器读出模式的评估
Ha Nguyen,Mathias Lehmann,Daniel Morf et al.
Ha Nguyen et al.
Background: There is increased interest in concurrent kilovoltage (kV) imaging during megavoltage (MV) irradiation as a means of monitoring intra-fraction motion. However, scatter introduced by the MV beam degrades kV ima...
Accuracy of a helium-beam radiography system based on thin pixel detectors for an anthropomorphic head phantom [0.03%]
基于薄像素探测器的氦束射线照相系统在人体头骨模型中精度研究
Margareta Metzner,Friderike K Longarino,Benjamin Ackermann et al.
Margareta Metzner et al.
Background: Ion-beam radiography is a promising technique to verify the range of ion-beam radiotherapy treatments regularly. To detect and quantify the water-equivalent thickness (WET) of potential anatomical changes, ion...
Commissioning of a precision preclinical 200 kV x-ray irradiator based on modular adaptations [0.03%]
基于模块化适应的精密预临床200千伏X射线照射器的安装调试
Lorenz Wolf,Peter Kuess,Sabine Leitner et al.
Lorenz Wolf et al.
Background: Preclinical research in radiation oncology encompasses a range of methodologies, including in vitro cell studies and in vivo small animal experiments, as well as in silico studies to evaluate radiation-induced...
Temporal-multimodal consistency alignment for Alzheimer's cognitive assessment prediction [0.03%]
阿尔茨海默认知评估预测的时序多模态一致性对齐方法
Xikai Yang,Xilin Dang,Jinyue Cai et al.
Xikai Yang et al.
Background: As one of the most prevalent neurodegenerative disorders, Alzheimer's disease (AD) severely impacts human thinking and behavior. Early and accurate prediction of cognitive decline is crucial for timely AD inte...
Comparative analysis of auger electron emission libraries and Monte Carlo track structure codes for DNA-targeted auger electron therapy [0.03%]
用于DNA靶向俄歇电子治疗的俄歇电子发射库和蒙特卡洛轨道结构代码的比较分析
Alexandre França Velo,Lukas Carter,Michael Bellamy et al.
Alexandre França Velo et al.
Background: Over the past decade, theranostic radiopharmaceuticals have gained significant attention, driven by the clinical success of agents like [177Lu]Lu-DOTATATE and [177Lu]Lu-PSMA-617. This has spurred an interest i...
Multi-view sparse attention network for glioma survival risk prediction [0.03%]
用于胶质瘤生存风险预测的多视角稀疏注意力网络
Xinyu Li,Hulin Kuang,Jianhong Cheng et al.
Xinyu Li et al.
Background: Predicting the survival risk of gliomas is vital for personalized treatment plans. The latest survival risk prediction methods primarily rely on histopathology and genomics, which are invasive and costly. Howe...
Lung cancer dose distribution prediction based on a dual-branch feature extraction network [0.03%]
基于双分支特征提取网络的肺癌剂量分布预测方法研究
Haifeng Zhang,Yongxin Liu,Yanjun Yu et al.
Haifeng Zhang et al.
Background: Currently, predicting dose distributions through neural networks can improve the automation level of radiotherapy planning. However, a single neural network often has limitations in its ability to extract feat...