Monte Carlo simulations of a new 3D electronic detector for radiotherapy quality assurance [0.03%]
一种新型三维电子检测器的蒙特卡洛模拟在放射治疗质量保证中的应用
Mirko Salomón Alva-Sánchez,Renzo Aaron Ocampo Burga,Dante Roa et al.
Mirko Salomón Alva-Sánchez et al.
Objective: Evaluate the dosimetric performance of a novel three-dimensional (3D) electronic detector array for radiotherapy quality assurance using Monte Carlo simulations. ...
CORRIGENDUM: Performance evaluation of a multiplexing circuit combined with ASIC readout for cost-effective brain PET imaging (2025 Phys. Med. Biol. 70 205001) [0.03%]
更正：具有ASIC读出的多路复用电路的性能评估，用于成本效益的大脑PET成像(2025Phys.Med.Biol.70205001)
Fiammetta Pagano,Francis Loignon-Houle,David Sanchez et al.
Fiammetta Pagano et al.
Published Erratum
Physics in medicine and biology. 2026 Feb 9;71(3). DOI:10.1088/1361-6560/ae3f73 2026
A cascaded CNN-LSTM framework for quantifying respiratory motion from surface electromyographic signals [0.03%]
基于表面肌电信号的呼吸运动量化CNN-LSTM框架
Yihan Huang,Xiangbin Zhang,Di Yan et al.
Yihan Huang et al.
Objective: Surface electromyographic (sEMG) signals of the diaphragm provide a valuable physiological signal for real-time respiratory monitoring, particularly in clinical applications such as radiotherapy tracking and in...
Reinforcement learning-guided segment anything model for MRI prostate and dominant intraprostatic lesions auto-segmentation [0.03%]
基于强化学习的MRI前列腺和主要前列腺内病变自动分割段Anything模型
Jingchu Chen,Mingzhe Hu,Mojtaba Safari et al.
Jingchu Chen et al.
Objective
Accurate segmentation of the prostate and dominant intraprostatic lesions (DILs) on magnetic resonance imaging (MRI) is important for prostate cancer radiation therapy treatment planning and targeted dose escalation. However, ...
Physics-informed optimization of saturation-transfer MRI protocols using non-differentiable Bloch models [0.03%]
基于不可微 Bloch 模型的饱和转移磁共振成像协议的物理信息优化
Beomgu Kang,Munendra Singh,Hyunseok Seo et al.
Beomgu Kang et al.
Saturation transfer MR fingerprinting (ST-MRF) is a quantitative molecular MRI method that simultaneously estimates parameters of free water, solute, and semisolid macromolecule protons. The accuracy of these quantifications is highly depen...
AutoSimTTF: a fully automatic pipeline for personalized electric field simulation and treatment planning of tumor treating fields [0.03%]
自动化的肿瘤电场治疗个性化模拟与方案设计管道 AutoSimTTF
Xu Xie,Zhengbo Fan,Huilin Mou et al.
Xu Xie et al.
Objective: Tumor Treating Fields (TTFields) is an emerging cancer therapy whose efficacy is closely linked to the electric field (EF) intensity delivered to the tumor. However, current computational workflows for simulati...
Patch2Space: a registration-free segmentation method for misaligned multimodal medical images [0.03%]
Patch2Space：一种无需配准的模态 misalignment医学图像分割方法
Zhenyu Tang,Shuaishuai Li,Chaowei Ding et al.
Zhenyu Tang et al.
Multimodal images contain complementary information that is valuable for deep learning (DL)-based image segmentation. To enable effective multimodal feature learning and fusion for accurate segmentation, multimodal images usually need to be...
Truth-based physics informed estimation of material composition in spectral CT in terms of density and effective atomic number [0.03%]
基于物理事实的光谱CT材料组成密度和有效原子序数估计方法
Jainam Hiteshkumar Valand,Mojtaba Zarei,Jayasai Rajagopal et al.
Jainam Hiteshkumar Valand et al.
Spectral CT data from Photon-Counting CT (PCCT) enables material decomposition. Mechanistic approaches such as Maximum Likelihood Estimation (MLE) are noise sensitive. Deep learning alternatives mitigate this issue, but their accuracy remai...
A Bayesian framework for the detection of physiological pulmonary ventilation changes [0.03%]
用于检测生理肺通气变化的贝叶斯框架
Paris Tzitzimpasis,Bas W Raaymakers,Mario G Ries et al.
Paris Tzitzimpasis et al.
Radiation pneumonitis occurs in approximately 10-30/% of lung cancer patients treated with radiation therapy, posing a significant dose-limiting factor. The assessment of regional ventilation changes from functional ventilation data can pro...
A rapid and accurate guanidine CEST imaging in ischemic stroke using a machine learning approach [0.03%]
基于机器学习的缺血性卒中胍氨酰CEST快速准确成像
Malvika Viswanathan,Leqi Yin,Yashwant Kurmi et al.
Malvika Viswanathan et al.
Objective: Rapid and accurate mapping of brain tissue pH is crucial for early diagnosis and management of ischemic stroke. Amide proton transfer (APT) imaging has been used for this purpose but suffers from hypointense co...