Refined query network (RQNet) for precise MRI segmentation and robust TED activity assessment [0.03%]
用于精确MRI分割和鲁棒TED活动评估的精炼查询网络(RQNet)
Le Yang,Haiyang Zhang,Lei Zheng et al.
Le Yang et al.
To develop an efficient deep learning framework for precise 3D segmentation of complex orbital structures in multi-sequence MRI and robust assessment of thyroid eye disease (TED) activity, thereby addressing limitations in computational com...
Analysis of quantum noise fraction in different frequency bands for direct and indirect digital mammography detectors [0.03%]
直接和间接数字乳腺X射线探测器量子噪声分数的频带分析研究
Antonio Gonzalez-Lopez,Pedro-Antonio Campos-Morcillo,Álvaro Luján-Expósito
Antonio Gonzalez-Lopez
Objective: To quantify differences in Quantum Noise Fraction (QNF) between direct and indirect mammography detectors across spatial frequency bands, assessing the ability of QNF to reveal performance degradation at high f...
Deep learning-based prediction of dynamic blood dose estimates for head-and-neck cancer [0.03%]
基于深度学习的头颈癌动态血药剂量估计预测模型
Hoyeon Lee,Sebastian Tattenberg
Hoyeon Lee
During radiotherapy, the radiation dose delivered to circulating blood can result in radiation-induced lymphopenia (RIL), which is correlated with adverse clinical outcomes like lower survival. Increasingly complex models to simulate radiat...
MSDiff: multi-scale diffusion model for ultra-sparse view CT reconstruction [0.03%]
MSDiff：超稀疏视图CT重建的多尺度扩散模型
Junyan Zhang,Mengxiao Geng,Pinhuang Tan et al.
Junyan Zhang et al.
Computed Tomography (CT) technology reduces radiation exposure to the human body through sparse sampling, but fewer sampling angles pose challenges for image reconstruction. When the projection angles are significantly reduced, the quality ...
Near-isotropic super-resolution CBCT imaging with a dual-layer flat panel detector [0.03%]
具有双层平板探测器的近等方向性超分辨率CBCT成像技术
Jiongtao Zhu,Yuhang Tan,Xin Zhang et al.
Jiongtao Zhu et al.
For medical imaging, usually, it is crucial to have high spatial resolution. Studies have demonstrated that novel dual-layer flat panel detectors (FPDs) can acquire extra spatial information to enable super-resolution cone beam CT(CBCT) ima...
Monte Carlo-based PET range verification for proton therapy in breast cancer patients with silicone implants: material assignment impact analysis [0.03%]
基于蒙特卡洛的PET范围验证用于乳腺癌带硅胶假体患者的质子治疗：材料赋值影响分析
Yanzhao Wang,Jiayi Guo,Jiangang Zhang et al.
Yanzhao Wang et al.
To validate a Monte Carlo (MC)-based offline PET range verification framework and quantitatively evaluate range uncertainties associated with material assignment strategies, specifically focusing on the clinical practice of overriding silic...
Mitigating the impact of FLASH-model uncertainties through personalized FLASH optimization functions for delivery pattern optimization for lung IMPT [0.03%]
基于FLASH模型不确定性个性化优化函数的肺部IMPT照射模式优化研究
Manon van Zon,Sebastiaan Breedveld,Mischa Hoogeman et al.
Manon van Zon et al.
It is generally assumed that the FLASH effect is triggered at dose rates of at least 40 Gy/s, while recent studies indicate that this threshold is not binary but follows a sigmoid across samples. Some patients may thus already experience th...
Super-cluster collimation for ultra-sensitive SPECT-PET: a simulation study [0.03%]
超灵敏SPECT-PET的超级聚类定心：一项仿真研究
Valerio Cosmi,Satyajit Ghosh,Ruud M Ramakers et al.
Valerio Cosmi et al.
Clustered pinhole (CP) collimation currently supports sub-millimeter resolution imaging up to ~1 MeV, enabling SPECT of alpha and beta emitters with gamma emissions, simultaneous multi-isotope PET and PET/SPECT, and positron range-free PET....
Cross-sequence semi-supervised learning for multi-parametric MRI-based visual pathway delineation [0.03%]
基于多参数MRI的视觉通路描绘的跨序列半监督学习
Alou Diakite,Cheng Li,Lei Xie et al.
Alou Diakite et al.
Accurately delineating the visual pathway (VP) is crucial for understanding the human visual system and diagnosing related disorders. Exploring multi-parametric MR imaging data has been identified as an important way to delineate VP. Howeve...
Clinical implementation considerations for proton dose-driven continuous scanning: comparative analysis of breakpoint determination methods [0.03%]
连续扫描中的剂量分割确定方法的比较分析及临床实施考量（质子治疗）
Chunbo Liu,Chris Beltran,Jiajian Shen et al.
Chunbo Liu et al.
Objective: We evaluated different breakpoint (BP) strategies and the impact of scan path optimization on dose accuracy, beam interruptions, and delivery efficiency in proton dose-driven continuous scanning (DDCS). Our goa...