Intrafractional rectum anatomy shape prediction based on 3D point cloud representation in online adaptive radiation therapy [0.03%]
基于三维点云表示的在线自适应放疗中直肠解剖形状的亚 fraction变化预测
Wenyu Wang,Zihong Zhou,Ran Wei et al.
Wenyu Wang et al.
Purpose: This study aimed to develop an anatomical structure generative model to predict intrafractional rectal shape in prostate cancer online adaptive radiation therapy (OART). ...
Systematic review and meta-analysis of AI-driven MRI motion artifact detection and correction [0.03%]
基于人工智能的磁共振成像运动伪影检测和校正的系统回顾与meta分析研究
Mojtaba Safari,Zach Eidex,Richard L J Qiu et al.
Mojtaba Safari et al.
Background: To systematically review and perform a meta-analysis of artificial intelligence (AI)-driven methods for detecting and correcting magnetic resonance imaging (MRI) motion artifacts, assessing current development...
X-ray imaging dosimeter performance in standard and non-standard radiography radiation fields in terms of air kerma [0.03%]
从空气比释动能角度看X射线成像剂量计在标准和非标准射线摄影辐射场中的性能
Nikola Kržanović,Paula Toroi,Ivana Komatina et al.
Nikola Kržanović et al.
Introduction: X-ray medical imaging developments have introduced needs for updated dosimetry practices. Methods: Performance of commerc...
Validation and optimization of dual-energy CT for accurate dose calculation in photon radiotherapy of brain metastases [0.03%]
光子放射治疗脑转移瘤的双能量CT验证及剂量计算优化研究
Gary Razinskas,Chiara Jegelka,Stefan Weick et al.
Gary Razinskas et al.
Purpose: Dual-energy computed tomography (DECT) offers enhanced tissue contrast and the potential for direct electron density mapping, but its role in accurate dose calculation for radiotherapy remains underexplored. This...
E Theodoridou,R Dong,C C King et al.
E Theodoridou et al.
Introduction: We present a rigorously defined dosimetric Monte Carlo (MC) model of the MultiRad225 kilovoltage X-ray irradiator, which is validated using experimental techniques. Previous MC studies performed with the Mul...
Ronan O Lefol,Yannick Lemaréchal,Alexandre Sagona et al.
Ronan O Lefol et al.
Purpose: The continuous increase of population dose due to ever-rising Computed Tomography (CT) examinations has called for more personalized dose estimations in medical imaging - a far from trivial task. This study aims ...
Statistical uncertainty-aware dual-path dilated convolution fusion framework for Monte Carlo dose denoising: Enhancing accuracy and efficiency in radiotherapy planning [0.03%]
一种统计不确定度感知的双路径膨胀卷积融合框架，用于蒙特卡洛剂量去噪：提高放射治疗计划的准确性和效率
Xingyu Lu,Yongbao Li,Linghong Zhou et al.
Xingyu Lu et al.
Purpose: Monte Carlo (MC)-based dose calculation provides high accuracy in radiotherapy but is limited by statistical uncertainty (SU), which introduces noise and increases computational demands. This study proposes a Sta...
The potential of a coronary artery-specific deep learning CT reconstruction algorithm for improvement in image quality of abdominal CT angiography with special reference to small arterial visibility [0.03%]
一种冠状动脉专用的深度学习CT重建算法在腹部CTA图像质量改善中的应用潜力——特别关注小动脉的可见性
Masashi Kinjyo,Akihiro Nishie,Taiyo Oshiro et al.
Masashi Kinjyo et al.
Background: /Introduction: We sought to clarify the potential of Precise IQ Engine (PIQE) for the visualization of small arteries in abdominal computed tomography angiography (CTA). ...
Enhancing total skin electron therapy: Introducing rotational technique and in-house-built flattening filter [0.03%]
改进全身电子线皮肤照射技术：旋转治疗技术和自主研发展平滤过器的应用
Livia Marrazzo,Gabriele Simontacchi,Danial Seifi et al.
Livia Marrazzo et al.
Purpose: To implement and commission a rotational Total Skin Electron Therapy (TSET) technique using high-dose-rate electron (HDRE) beams on an Elekta VersaHD linac and a custom-made flattening filter (FF), with the aim o...
Radiomics-based brain aging prediction with multi-modal magnetic resonance imaging: detecting regional biomarkers in adults [0.03%]
基于影像组学的多模态磁共振脑衰老预测：成人脑老化区域生物标志物探测模型
Heesoon Sheen,Han-Back Shin,Hyun Ju Kim et al.
Heesoon Sheen et al.
Introduction: We developed a radiomics-based model to classify brain MRI scans into two age groups: younger (65 years) adults using multi-modal magnetic resonance imaging (MRI; T1 and T2 sequences), identify regional biom...