An in-silico study of conventional and FLASH radiotherapy iso-effectiveness: potential impact of radiolytic oxygen depletion on tumor growth curves and tumor control probability [0.03%]
一种关于常规和FLASH放射治疗等效效果的计算机研究：辐射分解氧耗对肿瘤生长曲线及肿瘤控制概率的影响的潜在影响
I González-Crespo,F Gómez,Ó López Pouso et al.
I González-Crespo et al.
Objective. This work aims to investigate the iso-effectiveness of conventional and FLASH radiotherapy on tumors through in-silico mathematical models. We focused on the role of radiolytic oxygen depletion (ROD), which has been argued as a p...
Magneto-acousto-electrical tomography based on frequency response compensated linearly frequency-modulated signal stimulation [0.03%]
基于频率补偿线性调频信号激励的磁声电层析成像方法
Meijia Li,Jianfei Wang,Kebin Jia et al.
Meijia Li et al.
Objective. In magneto-acousto-electrical tomography (MAET), linearly frequency-modulated (LFM) signal stimulation uses much lower peak voltage than the spike pulse stimulation, lengthening the operation life of the transducer. However, due ...
The effect of intra- and inter-fractional motion on target coverage and margins in proton therapy for uveal melanoma [0.03%]
眼内肿瘤质子治疗的靶区覆盖及Margins的影响因素：瞬时和累计运动的作用机制分析
Daniel Björkman,Riccardo Via,Antony Lomax et al.
Daniel Björkman et al.
Introduction.This study aims to assess the effective lateral margin requirements for target coverage in ocular proton therapy (OPT), considering the unique challenges posed by eye motion and hypofractionation. It specifically addresses the ...
X-ray coronary angiography background subtraction by adaptive weighted total variation regularized online RPCA [0.03%]
自适应加权总变差正则化在线RPCA的X线冠状动脉造影背景抑制方法
Saeid Shakeri,Farshad Almasganj
Saeid Shakeri
Objective.X-ray coronary angiograms (XCA) are widely used in diagnosing and treating cardiovascular diseases. Various structures with independent motion patterns in the background of XCA images and limitations in the dose of injected contra...
Post-irradiation darkening model for EBT-3 films characterized using a single lot calibration approach [0.03%]
基于单批次校准方法的EBT-3胶片后照射变黑模型研究
Marco Caprioli,Laurence Delombaerde,Robin De Roover et al.
Marco Caprioli et al.
Objective.In this study, we present a model to correct the progressive post-irradiation darkening of EBT3 films. The model allows for a clinical use of EBT3 using application and calibration films scanned with different post-irradiation tim...
Comparison of deep-learning multimodality data fusion strategies in mandibular osteoradionecrosis NTCP modelling using clinical variables and radiation dose distribution volumes [0.03%]
基于临床变量和放射剂量分布体积的下颌骨放射性坏死NTCP建模中多模态数据融合策略的深度学习比较研究
Laia Humbert-Vidan,Vinod Patel,Andrew P King et al.
Laia Humbert-Vidan et al.
Objective.Normal tissue complication probability (NTCP) modelling is rapidly embracing deep learning (DL) methods, acknowledging the importance of spatial dose information. Finding effective ways to combine information from radiation dose d...
Comparative Study
Physics in medicine and biology. 2024 Oct 10;69(20). DOI:10.1088/1361-6560/ad8290 2024
Comment on 'A PET reconstruction formulation that enforces non-negativity in projection space for bias reduction in Y-90 imaging' [0.03%]
关于“一种在PET重建公式中强制投影空间中的非 negativity以减少Y-90成像中的偏差”的评论
Alexandre Merasli,Brunnhilde Ponsi,Maël Millardet et al.
Alexandre Merasli et al.
We read with great interest the paper by Limet al(2018Phys. Med. Biol.63035042) on bias reduction in Y-90 PET imaging. In particular, they proposed a new formulation of the tomographic reconstruction problem that enforces non-negativity in ...
DBAII-Net with multiscale feature aggregation and cross-modal attention for enhancing infant brain injury classification in MRI [0.03%]
一种改进的婴幼儿脑损伤MRI分类方法(DBAII-Net多尺度特征聚合与跨模态注意力机制)
Zhen Jia,Tingting Huang,Xianjun Li et al.
Zhen Jia et al.
Objectives.Magnetic resonance imaging (MRI) is pivotal in diagnosing brain injuries in infants. However, the dynamic development of the brain introduces variability in infant MRI characteristics, posing challenges for MRI-based classificati...
A comparative study on automatic treatment planning for online adaptive proton therapy of esophageal cancer: which combination of deformable registration and deep learning planning tools performs the best? [0.03%]
自适应质子治疗食管癌的自动计划研究：变形和深度学习计划工具哪种组合性能最优？
C Draguet,P Populaire,M Chocan Vera et al.
C Draguet et al.
Objective.To demonstrate the feasibility of integrating fully-automated online adaptive proton therapy strategies (OAPT) within a commercially available treatment planning system and underscore what limits their clinical implementation. The...
Comparative Study
Physics in medicine and biology. 2024 Oct 10;69(20). DOI:10.1088/1361-6560/ad80f6 2024
Performance evaluation of image co-registration methods in photoacoustic mesoscopy of the vasculature [0.03%]
声光显微成像技术在血管成像中的图像配准方法性能评估
Thierry L Lefebvre,Paul W Sweeney,Janek Grohl et al.
Thierry L Lefebvre et al.
Objective:The formation of functional vasculature in solid tumours enables delivery of oxygen and nutrients, and is vital for effective treatment with chemotherapeutic agents. Longitudinal characterisation of vascular networks can be enable...