RBE-based dose planning, and calculation of TCP and NTCP with gold nanoparticles for intermediate photon energy in pancreatic cancer [0.03%]
基于RBE的剂量计划以及使用金纳米颗粒在胰腺癌中进行中间光子能量的TCP和NTCP计算
Navid Khaledi,Raffi Karshafian,Amandeep S Taggar et al.
Navid Khaledi et al.
Objective.This study simulated the potential of gold nanoparticles (GNPs) to improve the effectiveness of radiation therapy in pancreatic cancer cases. The purpose of this study was to assess the impact of GNPs on tumor control probability ...
Validation of dual-energy CT-based composition analysis using fresh animal tissues and composition-optimized tissue equivalent samples [0.03%]
基于双能CT的组织成分分析方法的验证：新鲜动物组织和成分优化的等效组织样本的体内与体外实验研究
Katharina Niepel,Sebastian Tattenberg,Raanan Marants et al.
Katharina Niepel et al.
Objective.Proton therapy allows for highly conformal dose deposition, but is sensitive to range uncertainties. Several approaches currently under development measure composition-dependent secondary radiation to monitor the delivered proton ...
Sebastian Mair,Anqi Fu,Jens Sjölund
Sebastian Mair
Objective.Radiation treatment planning (RTP) involves optimization over a large number of voxels, many of which carry limited information about the clinical problem. We propose an approach to reduce the large optimization problem by only us...
A deep neural network for positioning and inter-crystal scatter identification in multiplexed PET detectors: a simulation study [0.03%]
一种用于多路复用PET检测器定位和晶体间的散射识别的深度神经网络：一项模拟研究
Francisco E Enríquez-Mier-Y-Terán,Luping Zhou,Steven R Meikle et al.
Francisco E Enríquez-Mier-Y-Terán et al.
Objective.High-resolution positron emission tomography (PET) relies on the accurate positioning of annihilation photons impinging the crystal array. However, conventional positioning algorithms in light-sharing PET detectors are often limit...
Enhancing the reliability of deep learning-based head and neck tumour segmentation using uncertainty estimation with multi-modal images [0.03%]
基于多模态图像不确定性估计增强头颈肿瘤分割的可靠性
Jintao Ren,Jonas Teuwen,Jasper Nijkamp et al.
Jintao Ren et al.
Objective.Deep learning shows promise in autosegmentation of head and neck cancer (HNC) primary tumours (GTV-T) and nodal metastases (GTV-N). However, errors such as including non-tumour regions or missing nodal metastases still occur. Conv...
Carbon ion beam dosimetry in magnetic fields using Farmer-type ionization chambers of different radii: measurements and simulations [0.03%]
不同半径的弗amer型电离室在磁场中的碳离子束剂量测量及模拟研究
S Surla,M Marot,L Burigo et al.
S Surla et al.
Objective.To investigate magnetic field effects on the dose distribution and ionization chambers response in carbon ion reference fields and determine magnetic field correction factors for chambers of different volumes.Approach.The response...
CT-based synthetic contrast-enhanced dual-energy CT generation using conditional denoising diffusion probabilistic model [0.03%]
基于条件去噪扩散概率模型的合成对比剂增强双能CT生成研究
Yuan Gao,Richard L J Qiu,Huiqiao Xie et al.
Yuan Gao et al.
Objective.The study aimed to generate synthetic contrast-enhanced Dual-energy CT (CE-DECT) images from non-contrast single-energy CT (SECT) scans, addressing the limitations posed by the scarcity of DECT scanners and the health risks associ...
Hierarchical multi-level dynamic hyperparameter deformable image registration with convolutional neural network [0.03%]
基于卷积神经网络的层次化多级动态超参数可变形图像配准方法
Zhenyu Zhu,Qianqian Li,Ying Wei et al.
Zhenyu Zhu et al.
Objective. To enable the registration network to be trained only once, achieving fast regularization hyperparameter selection during the inference phase, and to improve registration accuracy and deformation field regularity.Approach. Hyperp...
Monte Carlo dosimetric analyses on the use of90Y-IsoPet intratumoral therapy in canine subjects [0.03%]
90Y-IsoPet瘤内注射治疗犬的蒙特卡罗剂量分析研究
Mislav Bobić,Carlos Huesa-Berral,Jack F Terry et al.
Mislav Bobić et al.
Objective.To investigate different dosimetric aspects of90Y-IsoPet™ intratumoral therapy in canine soft tissue sarcomas, model the spatial spread of the gel post-injection, evaluate absorbed dose to clinical target volumes, and assess dose...
Jason Holmes,Hongying Feng,Lian Zhang et al.
Jason Holmes et al.
This article examines the critical role of fast Monte Carlo (MC) dose calculations in advancing proton therapy techniques, particularly in the context of increasing treatment customization and precision. As adaptive radiotherapy and other p...