Bifurcation detection in intravascular optical coherence tomography using vision transformer based deep learning [0.03%]
基于视觉变换器的深度学习在血管内光学相干层析成像中的分叉检测
Rongyang Zhu,Qingrui Li,Zhenyang Ding et al.
Rongyang Zhu et al.
Objective. Bifurcation detection in intravascular optical coherence tomography (IVOCT) images plays a significant role in guiding optimal revascularization strategies for percutaneous coronary intervention (PCI). We propose a bifurcation de...
Modelling systematic anatomical uncertainties of head and neck cancer patients during fractionated radiotherapy treatment [0.03%]
头颈部癌症患者分次放射治疗期间的系统解剖不确定性建模
Poppy Nikou,Anna Thompson,Andrew Nisbet et al.
Poppy Nikou et al.
Objective.Head and neck cancer patients experience systematic as well as random day to day anatomical changes during fractionated radiotherapy treatment. Modelling the expected systematic anatomical changes could aid in creating treatment p...
Uncertainty quantification via localized gradients for deep learning-based medical image assessments [0.03%]
基于深度学习的医学影像评估中的不确定量化方法研究Localized Gradient
Brayden Schott,Dmitry Pinchuk,Victor Santoro-Fernandes et al.
Brayden Schott et al.
Objective.Deep learning models that aid in medical image assessment tasks must be both accurate and reliable to be deployed within clinical settings. While deep learning models have been shown to be highly accurate across a variety of tasks...
Multi-planar dual adversarial network based on dynamic 3D features for MRI-CT head and neck image synthesis [0.03%]
基于动态3D特征的多平面双对抗网络的头颈部MRI-CT图像合成方法
Redha Touati,William Trung Le,Samuel Kadoury
Redha Touati
Objective.Head and neck radiotherapy planning requires electron densities from different tissues for dose calculation. Dose calculation from imaging modalities such as MRI remains an unsolved problem since this imaging modality does not pro...
Joint diffusion: mutual consistency-driven diffusion model for PET-MRI co-reconstruction [0.03%]
联合扩散：PET-MRI联合重建的互一致性驱动扩散模型
Taofeng Xie,Zhuo-Xu Cui,Chen Luo et al.
Taofeng Xie et al.
Objective. Positron Emission Tomography and Magnetic Resonance Imaging (PET-MRI) systems can obtain functional and anatomical scans. But PET suffers from a low signal-to-noise ratio, while MRI are time-consuming. To address time-consuming, ...
M Anton,M Reginatto,S Schopphoven et al.
M Anton et al.
Objective.We propose a nonparametric figure of merit, the contrast equivalent distance CED, to measure contrast directly from clinical images.Approach.A relative brightness distanceδis calculated by making use of the order statistic of the...
GWO+RuleFit: rule-based explainable machine-learning combined with heuristics to predict mid-treatment FDG PET response to chemoradiation for locally advanced non-small cell lung cancer [0.03%]
结合启发式算法预测局部晚期非小细胞肺癌化学放射治疗中期氟脱氧葡萄糖正电子发射断层扫描反应的基于规则的可解释机器学习(GWO+RuleFit)
Chunyan Duan,Qiantuo Liu,Jiajie Wang et al.
Chunyan Duan et al.
Objective.Vital rules learned from fluorodeoxyglucose positron emission tomography (FDG-PET) radiomics of tumor subregional response can provide clinical decision support for precise treatment adaptation. We combined a rule-based machine le...
An experimental validation of a filtering approach for prompt gamma prediction in a research proton treatment planning system [0.03%]
一种实时质子治疗计划系统中瞬时伽马射线预测的滤除方法的实验验证
Ze Huang,Liheng Tian,Guillaume Janssens et al.
Ze Huang et al.
Prompt gamma (PG) radiation generated from nuclear reactions between protons and tissue nuclei can be employed for range verification in proton therapy. A typical clinical workflow for prompt gamma range verification compares the detected p...
Mathematical analysis of FLASH effect models based on theoretical hypotheses [0.03%]
基于理论假设的FLASH效应数学模型分析
Ankang Hu,Wanyi Zhou,Rui Qiu et al.
Ankang Hu et al.
Clinical applications of FLASH radiotherapy require formulas to describe how the FLASH radiation features and other related factors determine the FLASH effect. Mathematical analysis of the models can connect the theoretical hypotheses with ...
DeCoGAN: MVCT image denoising via coupled generative adversarial network [0.03%]
基于耦合生成对抗网络的MVCT图像去噪方法
Kunpeng Zhang,Tianye Niu,Lei Xu
Kunpeng Zhang
Objective.In helical tomotherapy, image-guided radiotherapy employs megavoltage computed tomography (MVCT) for precise targeting. However, the high voltage of megavoltage radiation introduces substantial noise, significantly compromising MV...