Flexible and modular PET: Evaluating the potential of TOF-DOI panel detectors [0.03%]
灵活的模块化的PET：评估TOF-DOI面板探测器的潜力
Gašper Razdevšek,Georges El Fakhri,Thibault Marin et al.
Gašper Razdevšek et al.
Background: Panel detectors have the potential to provide a flexible, modular approach to Positron Emission Tomography (PET), enabling customization to meet patient-specific needs and scan objectives. The panel design all...
Decentralized learning for medical image classification with prototypical contrastive network [0.03%]
基于原型对比网络的医学图像分类去中心化学习
Zhantao Cao,Yuanbing Shi,Shuli Zhang et al.
Zhantao Cao et al.
Background: Recently, deep convolutional neural networks (CNNs) have shown great potential in medical image classification tasks. However, the practical usage of the methods is constrained by two challenges: 1) the challe...
Stable and discriminating OCT-derived radiomics features for predicting anti-VEGF treatment response in diabetic macular edema [0.03%]
用于预测糖尿病黄斑水肿抗VEGF治疗反应的稳定且具有区分度的OCT衍生放射组学特征
Sudeshna Sil Kar,Hasan Cetin,Sunil K Srivastava et al.
Sudeshna Sil Kar et al.
Background: Radiomics-based characterization of fluid and retinal tissue compartments of spectral-domain optical coherence tomography (SD-OCT) scans has shown promise to predict anti-VEGF therapy treatment response in dia...
Quantifying multi-institutional ADC measurement variability of 1.5 T MR-Linacs: A phantom and in vivo study [0.03%]
量化1.5T MR-林纳克多机构ADC测量变异性的示踪剂和体内研究
Madeline E Carr,Kathryn E Keenan,Michaela Beavan et al.
Madeline E Carr et al.
Background: Diffusion-weighted imaging (DWI), a quantitative magnetic resonance imaging (qMRI) technique, has the potential to aid in disease characterization and treatment response monitoring. MR-Linacs (MRLs) enable sim...
Demonstration of virtual imaging trial applications for optimization and education of dento-maxillofacial CBCT imaging [0.03%]
牙颌面CBCT成像优化和教育虚拟成像试验应用演示
Karen Merken,Nicholas Marshall,Johan Nuyts et al.
Karen Merken et al.
Background: A number of studies have suggested that there is a need for improved understanding of dento-maxillofacial cone beam computed tomography (CBCT) technology, and to establish optimized imaging protocols. While se...
New index for quantitative comparison of dose distributions in radiotherapy [0.03%]
放射治疗中剂量分布定量比较的新指标
Vadim Y Kuperman,Yucel Altundal
Vadim Y Kuperman
Background: Delivery of intensity modulated radiotherapy (IMRT) requires patient specific quality assurance (QA) tests. These tests normally include a two-fold comparison of dose distributions: (a) comparison of planned d...
A comparative analysis of GEANT4, MCNP6 and FLUKA on proton-induced gamma-ray simulation [0.03%]
GEANT4，MCNP6和FLUKA在质子诱导伽马射线模拟中的比较分析
Hugo Freitas,Esmaeil Nobakht,Florian Grüner et al.
Hugo Freitas et al.
Background: Precise range verification is essential in proton therapy to minimize treatment margins due to the steep dose fall-off of proton beams. The emission of secondary radiation from nuclear reactions between incide...
Path-enhanced chunking approach with residual attention for medical image segmentation [0.03%]
残差注意力增强路径的分块方法在医学图像分割中的应用
Shanshan Li,Zaixian Zhang,Shunli Liu et al.
Shanshan Li et al.
Background: Medical image segmentation is an essential component of computer-aided diagnosis. While U-Net has been widely used in this field, its performance can be limited by incomplete feature information transfer and t...
Compressed radiotherapy treatment planning: A new paradigm for rapid and high-quality treatment planning optimization [0.03%]
压缩放射治疗计划制定：快速高质量治疗计划优化的新模式
Mojtaba Tefagh,Gourav Jhanwar,Masoud Zarepisheh
Mojtaba Tefagh
Background: Radiotherapy treatment planning involves solving large-scale optimization problems that are often approximated and solved sub-optimally due to time constraints. Central to these problems is the dose influence ...
Medical image segmentation network based on a multisize convolutional kernel association strategy [0.03%]
基于多尺度卷积核关联策略的医学图像分割网络
Zhihao Lu,Mingyang Liu,Biao Cai et al.
Zhihao Lu et al.
Background: Medical image segmentation plays a crucial role in clinical diagnosis and treatment planning by extracting essential information from tissue images. ...