Do cell culturing influence the radiosensitizing effect of gold nanoparticles: a Monte Carlo study [0.03%]
细胞培养对金纳米颗粒放射增敏效应影响的蒙特卡罗研究
J Antunes,T Pinheiro,I Marques et al.
J Antunes et al.
Background: Cell culture can be categorized into two major types: adherent and suspension. Both are used in a range of diverse research applications, exhibiting Pros and Cons, depending on what is being studied. In the fi...
Robustness of textural analysis features in quantitative 99 mTc and 177Lu SPECT-CT phantom acquisitions [0.03%]
定量分析99mTc和177Lu SPECT-CT体模采集的纹理特征的鲁棒性
Alastair J Gemmell,Colin M Brown,Surajit Ray et al.
Alastair J Gemmell et al.
Background: Textural Analysis features in molecular imaging require to be robust under repeat measurement and to be independent of volume for optimum use in clinical studies. Recent EANM and SNMMI guidelines for radiomics...
External phantom-based validation of a deep-learning network trained for upscaling of digital low count PET data [0.03%]
基于外部仿体的大数据深度学习提高低计数数字PET分辨率的验证研究
Anja Braune,René Hosch,David Kersting et al.
Anja Braune et al.
Background: A reduction of dose and/or acquisition duration of PET examinations is desirable in terms of radiation protection, patient comfort and throughput, but leads to decreased image quality due to poorer image stati...
Comparison of 18F-FDG PET image quality and quantitative parameters between DPR and OSEM reconstruction algorithm in patients with lung cancer [0.03%]
肺癌患者使用DPR与OSEM重建算法的18F-FDG PET图像质量及定量参数比较
Ziyi Zhang,Wei Han,Zhehao Lyu et al.
Ziyi Zhang et al.
Objectives: The present study aimed to investigate the influence of the deep progressive learning reconstruction (DPR) algorithm on the 18F-FDG PET image quality and quantitative parameters. ...
Non-linear mixed-effects modelling and population-based model selection for 131I kinetics in benign thyroid disease [0.03%]
用于良性甲状腺疾病~(131)I动力学的非线性混合效应模型和基于人群的模型选择
Deni Hardiansyah,Ade Riana,Heribert Hänscheid et al.
Deni Hardiansyah et al.
Purpose: This study aimed to determine a mathematical model for accurately calculating time-integrated activities (TIAs) of target tissue in 131I therapy for benign thyroid disease using the population-based model selecti...
Impact of harmonization and oversampling methods on radiomics analysis of multi-center imbalanced datasets: application to PET-based prediction of lung cancer subtypes [0.03%]
调和化和过采样方法对多中心不平衡数据集放射组学分析的影响：在基于PET的肺癌亚型预测中的应用
Dongyang Du,Isaac Shiri,Fereshteh Yousefirizi et al.
Dongyang Du et al.
Background: Medical imaging data frequently encounter image-generation heterogeneity and class imbalance properties, challenging strong generalized predictive performances with data-driven machine-learning methods. The pu...
Open-source phantom with dedicated in-house software for image quality assurance in hybrid PET systems [0.03%]
用于混合PET系统的开源仿真软件及其图像质量保证
Carmen Salvador-Ribés,Carina Soler-Pons,María Jesús Sánchez-García et al.
Carmen Salvador-Ribés et al.
Background: Patients' diagnosis, treatment and follow-up increasingly rely on multimodality imaging. One of the main limitations for the optimal implementation of hybrid systems in clinical practice is the time and expert...
Deriving tissue physical densities based on Dixon magnetic resonance images and tissue composition prior knowledge for voxel-based internal dosimetry [0.03%]
基于狄克逊磁共振图像和组织组成先验知识的体积像素内部剂量学物理密度计算方法研究
Cheng-Ting Shih,Ko-Han Lin,Bang-Hung Yang et al.
Cheng-Ting Shih et al.
Background: Magnetic resonance (MR) images have been applied in diagnostic and therapeutic nuclear medicine to improve the visualization and characterization of soft tissues and tumors. However, the physical density (ρ) ...
Trends in diagnostic nuclear medicine in Sweden (2008-2023): utilisation, radiation dose, and methodological insights [0.03%]
瑞典诊断核医学趋势（2008-2023）：利用情况、辐射剂量和方法学见解
Anja Almén
Anja Almén
Background: Diagnostic imaging is a dynamic medical field. In nuclear medicine, advancements introduce new procedures utilising innovative radiopharmaceuticals. These developments may influence supply requirements and exp...
Impact of a deep progressive reconstruction algorithm on low-dose or fast-scan PET image quality and Deauville score in patients with lymphoma [0.03%]
一种深度递进重建算法对低剂量或快速扫描正电子发射断层显像图像质量和淋巴瘤患者德沃利评分的影响
Wenli Qiao,Taisong Wang,Hongyuan Yi et al.
Wenli Qiao et al.
Background: A deep progressive learning method for PET image reconstruction named deep progressive reconstruction (DPR) method was developed and presented in previous works. It has been shown in previous study that the DP...