New Insights into Automatic Treatment Planning for Cancer Radiotherapy Using Explainable Artificial Intelligence [0.03%]
Md Mainul Abrar,Xun Jia,Yujie Chi
Md Mainul Abrar
Objective: This study aims to uncover the opaque decision-making process of an artificial intelligence (AI) agent for automatic treatment planning. Approa...
Dosimetric characterization of a90Sr90Y Pterygium applicator with radiochromic film and Monte Carlo simulations [0.03%]
用于治疗翼状胬肉的90Sr/90Y施用器的剂量学性质的特征研究：无线电彩色胶片和蒙特卡罗模拟方法
Maryam Rahbaran,Shirin A Enger,Parminder Basran
Maryam Rahbaran
β-emitting radionuclides, such as 90Sr90Y, are widely used in clinical settings for the treatment of both benign and malignant lesions, particularly as surface applicators. Despite their clinical relevance, the three-dimensional dose distr...
Toward real-time dose-guided radiation therapy: deformable multileaf collimator tracking using motion-model-derived volumetric images in lung and liver cancer patients [0.03%]
基于运动模型的实时自适应放疗中叶片跟踪技术在肺癌和肝癌患者中的应用研究
Laura Esther Büttgen,Chandrima Sengupta,Jonathan R Sykes et al.
Laura Esther Büttgen et al.
Accurate dose delivery in the presence of anatomical motion and deformation remains a major challenge in radiation therapy. Real-time dose-guided radiation therapy addresses this challenge by integrating volumetric imaging, dose accumulatio...
Formulation of acoustoelectric phenomena in ionic media via the Nernst-Planck equation [0.03%]
纳耳斯特-普朗克方程在离子介质中静电声学现象的表述
Wei Yi Oon,Yuchen Tang,Wei-Ning Lee
Wei Yi Oon
Objective. Acoustoelectric phenomena, such as the Acousto-Electric Interaction (AEI), involve the generation of electric fields induced by acoustic waves. The ultrasound-induced AEI effect holds potential for non-invasive electroanatomical ...
First multi-institutional systematic comparison of the neutron ambient dose equivalent produced by proton therapy systems [0.03%]
首次关于质子治疗系统产生的中子环境当量剂量的多机构系统对比研究
Arash Darafsheh,Yao Hao,Anissa Bey et al.
Arash Darafsheh et al.
Objective.Isochronous cyclotrons, synchrocyclotrons, and synchrotrons are used to accelerate protons for proton therapy. An accurate measurement of neutron doses generated by these accelerators and associated delivery systems and its clinic...
Comparative Study
Physics in medicine and biology. 2025 Nov 26;70(23). DOI:10.1088/1361-6560/ae1ee5 2025
How the sensitivity of TOF-PET depends on the interplay between the temporal and spatial detector resolutions and the resolution required for the imaging task [0.03%]
TOF-PET灵敏度如何依赖于探测器的时间和空间分辨率以及成像任务所需的分辨率之间的相互作用
Johan Nuyts,Michel Defrise,Christian Morel et al.
Johan Nuyts et al.
Objective: Sensitivity is a key feature of positron emission tomography (PET). Here, sensitivity can be defined as the reciprocal of the amount of injected radioactivity needed to obtain a sufficient image quality for a p...
Automating IMRT planning for cervical cancer using dimension-scaled prior-based Vanilla Bayesian optimization [0.03%]
基于先验的 vanilla 贝叶斯优化在宫颈癌逆向调强治疗自动计划中的应用研究
Vinay Saini,Sanjay Barman,Satyajit Pradhan et al.
Vinay Saini et al.
Objective:Manual inverse planning for radiation therapy is labor-intensive and often prone to inconsistent plan quality due to multiple adjustable planning hyperparameters, varying planner experience, and differing time constraints. Automat...
Investigation of data-driven stopping power calibration of treatment planning x-ray CT from simulated sparse-view proton radiographies [0.03%]
基于模拟稀疏视野质子放射图的数据驱动的治疗计划X射线CT停止单元校准研究
Ines Butz,Hector Andrade Loarca,Angelo Schiavi et al.
Ines Butz et al.
Proton therapy treatment planning currently needs to account for relatively large range uncertainty margins primarily due to the semi-empirical calibration of the treatment planning X-ray computed tomography (CT) to proton stopping power re...
Model-based spatiotemporal synthetic data generation framework and deep-learning reconstruction for real-time MRI oxygen extraction fraction mapping [0.03%]
基于模型的时空合成数据生成框架和深度学习重建在实时MR氧提取分数映射中的应用
Zejun Wu,Qinqin Yang,Nuowei Ge et al.
Zejun Wu et al.
Synthetic data has emerged as a highly efficient solution to address the scarcity of training data in deep learning-based quantitative magnetic resonance imaging (qMRI) reconstruction. However, current applications of synthetic data predomi...
GATE 10 Monte Carlo particle transport simulation -Part II: architecture and innovations [0.03%]
蒙特卡罗粒子输运模拟代码OpenMC（二）：架构与创新
Nils Krah,Nicolas Arbor,Thomas Baudier et al.
Nils Krah et al.
Over the past years, we have developed GATE version 10, a major reimplementation of the long-standing Geant4-based Monte Carlo application for particle and radiation transport simulation in medical physics. This release introduces many new ...