Monte Carlo simulation of initial and volume ion recombination correction factor in plane parallel ionization chambers exposed to ion beams [0.03%]
平面平行离子化室在离子束照射下初始体积电离粒子复合修正因子的蒙特卡洛模拟研究
Marina Orts,Severine Rossomme,Kevin Souris et al.
Marina Orts et al.
Objective.Accurate reference dosimetry with ionization chambers (ICs) relies on correcting for various influencing factors, including ion recombination. Theoretical frameworks, such as the Boag and Jaffe theories, are conventionally used to...
MSRA-Net: multi-channel semantic-aware and residual attention mechanism network for unsupervised 3D image registration [0.03%]
MSRA-net：基于多通道语义感知和残差注意机制的无监督三维图像配准方法
Xiaozhen Ren,Haoyuan Song,Zihao Zhang et al.
Xiaozhen Ren et al.
Objective. Convolutional neural network (CNN) is developing rapidly in the field of medical image registration, and the proposed U-Net further improves the precision of registration. However, this method may discard certain important inform...
FAST (fast analytical simulator of tracer)-PET: an accurate and efficient PET analytical simulation tool [0.03%]
快速示踪剂分析模拟器(PET)(FAST-PET):一种精确有效的正电子发射断层扫描(PET)分析模拟工具
Suya Li,Mahdjoub Hamdi,Kaushik Dutta et al.
Suya Li et al.
Objective.Simulation of positron emission tomography (PET) images is an essential tool in the development and validation of quantitative imaging workflows and advanced image processing pipelines. Existing Monte Carlo or analytical PET simul...
Guillermo Nuñez Ponasso
Guillermo Nuñez Ponasso
Bioelectric modeling problems, such as electroencephalography, magnetoencephalography, transcranial electrical stimulation, deep brain stimulation, and transcranial magnetic stimulation, among others, can be approached through the formulati...
Multi-institutional experimental validation of online adaptive proton therapy workflows [0.03%]
多机构联合验证在线自适应质子治疗流程
Mislav Bobić,Evangelia Choulilitsa,Hoyeon Lee et al.
Mislav Bobić et al.
Objective.To experimentally validate two online adaptive proton therapy (APT) workflows using Gafchromic EBT3 films and optically stimulated luminescent dosimeters (OSLDs) in an anthropomorphic head-and-neck phantom.Approach.A three-field p...
Multicenter Study
Physics in medicine and biology. 2024 Aug 6;69(16). DOI:10.1088/1361-6560/ad6527 2024
Robust optimization strategies for contour uncertainties in online adaptive radiation therapy [0.03%]
自适应放射治疗轮廓不确定度的鲁棒优化策略研究
A Smolders,I Bengtsson,A Forsgren et al.
A Smolders et al.
Objective.Online adaptive radiation therapy requires fast and automated contouring of daily scans for treatment plan re-optimization. However, automated contouring is imperfect and introduces contour uncertainties. This work aims at develop...
Multi-modal fusion and feature enhancement U-Net coupling with stem cell niches proximity estimation for voxel-wise GBM recurrence prediction [0.03%]
基于多模态融合与特征增强的U-Net结合神经干细胞龛位置估计的胶质母细胞瘤复发预测方法
Changzhe Jiao,Yi Lao,Wenwen Zhang et al.
Changzhe Jiao et al.
Objective.We aim to develop a Multi-modal Fusion and Feature Enhancement U-Net (MFFE U-Net) coupling with stem cell niche proximity estimation to improve voxel-wise Glioblastoma (GBM) recurrence prediction.Approach.57 patients with pre- and...
Dosimetry of microbeam radiotherapy by flexible hydrogenated amorphous silicon detectors [0.03%]
采用柔性非晶硅氢化物探测器对纳米束放疗进行剂量学研究
Matthew James Large,Keida Kanxheri,Jessie Posar et al.
Matthew James Large et al.
Objective.Detectors that can provide accurate dosimetry for microbeam radiation therapy (MRT) must possess intrinsic radiation hardness, a high dynamic range, and a micron-scale spatial resolution. In this work we characterize hydrogenated ...
Resolution limits for radiation-induced acoustic imaging for in vivo radiation dosimetry [0.03%]
辐射诱发声学成像的分辨率限制，用于体内辐射剂量学
Prabodh Kumar Pandey,Kristina Bjegovic,Gilberto Gonzalez et al.
Prabodh Kumar Pandey et al.
Objective.Radiation-induced acoustic (RA) computed tomographic (RACT) imaging is being thoroughly explored for radiation dosimetry. It is essential to understand how key machine parameters like beam pulse, size, and energy deposition affect...
A deep-learning-based surrogate model for Monte-Carlo simulations of the linear energy transfer in primary brain tumor patients treated with proton-beam radiotherapy [0.03%]
基于深度学习的代理模型在原发性脑肿瘤患者质子束放射治疗线性能量传递蒙特卡洛模拟中的应用研究
Sebastian Starke,Aaron Kieslich,Martina Palkowitsch et al.
Sebastian Starke et al.
Objective.This study explores the use of neural networks (NNs) as surrogate models for Monte-Carlo (MC) simulations in predicting the dose-averaged linear energy transfer (LETd) of protons in proton-beam therapy based on the planned dose di...