Accuracy evaluation and acceleration of Monte Carlo simulation of scattered radiation using a high-fidelity mobile X-ray fluoroscopy system model [0.03%]
基于高保真移动X射线透视系统模型的散射辐射蒙特卡洛模拟精度评估与加速研究
Mao Tabuchi,Toshioh Fujibuchi,Donghee Han
Mao Tabuchi
A high-fidelity electron-source Monte Carlo model of a mobile C-arm fluoroscopy system was developed using Particle and Heavy Ion Transport code system (PHITS) to evaluate scattered radiation and calculation acceleration. Electrons were inj...
Influence of target coverage priority levels on dose homogeneity in commercial automated field-in-field planning for breast radiotherapy [0.03%]
靶区覆盖优先级对商业自动化场内场乳腺放射治疗计划剂量均匀性的影响研究
Hideharu Miura,Yoshiko Doi,Masanori Ochi et al.
Hideharu Miura et al.
To evaluate the impact of five automated field-in-field (Auto FIF) priority levels in RayStation on dosimetric parameters in left-sided whole-breast radiotherapy. Ten women with early-stage left-sided breast cancer were planned with standar...
A radiology-aware fuzzy deep learning framework with entropy-guided feature selection for robust multi-disease chest X-ray classification across multiple magnifications [0.03%]
一种基于熵引导特征选择的放射学感知模糊深度学习框架，用于跨多种放大倍数的胸部X光片多病种 robust 分类
Mohammad Mahdi Ershadi,Zeinab Rahimi Rise,Seyed Taghi Akhavan Niaki
Mohammad Mahdi Ershadi
Chest X-ray (CXR) imaging remains the most widely used and cost-effective modality for diagnosing thoracic diseases, yet automated multi-disease interpretation remains challenging due to acquisition variability, subtle overlapping pathologi...
Educational effectiveness of short-term e-learning intervention on chest radiograph assessment skills among radiological technology students: a pre- and post-comparative study [0.03%]
一种针对放射专业学生胸片评估技能的短期在线干预项目的教育效果研究：一项前后对照研究
Taku Kuramoto,Nao Ichikawa,Shin Nagamata et al.
Taku Kuramoto et al.
Medical imaging interpretation is central to clinical decision-making. However, a significant global radiologist shortage necessitates an expanded role for radiological technologists in providing image interpretation support. Preparing stud...
Content-based retrieval of fundus images and diabetic retinopathy detection using variants of local texture features [0.03%]
基于内容的视网膜图像检索及局部纹理特征变体在糖尿病性视网膜病变检测中的应用
Arpita Santra,Imtiyaz Ahmad,Vibhav Prakash Singh
Arpita Santra
Content-based retinal image analysis plays a crucial role in the early diagnosis of ocular diseases. In this study, we proposed a novel approach for efficient content-based retinal image retrieval and Diabetic Retinopathy (DR) detection usi...
Automated sternocleidomastoid ROI placement on carotid black-blood T1-weighted MRI: toward standardized plaque-to-muscle ratio assessment [0.03%]
自动定位颈动脉黑血T1加权磁共振成像的胸锁乳突肌感兴趣区：迈向标准化的斑块-肌肉比评估
Masayoshi Mori,Takanori Masuda,Kohei Sugimoto et al.
Masayoshi Mori et al.
In carotid black-blood T1-weighted imaging (BB T1WI), plaque-to-muscle ratio (PMR) is used for quantitative assessment of plaque hyperintensity. However, sternocleidomastoid muscle (SCM) signal measurement depends on reader region of intere...
Deep learning-based multi-modality image conversion for evaluating dose calculation and position correction accuracy in image-guided radiation therapy [0.03%]
基于深度学习的多模态图像转换在影像引导放射治疗剂量计算和位置校正准确性评估中的应用研究
Ryoma Tsuchiya,Keisuke Usui,Hajime Sakamoto et al.
Ryoma Tsuchiya et al.
Cone-beam CT (CBCT) is widely used in image-guided radiation therapy (IGRT). However, CBCT has limited image quality, which can reduce dose calculation and position correction accuracy. This study aimed to propose a deep learning-based mult...
Adaptive 3D-CRT with CCRT for head and neck cancer: resource limited single center experience in Bangladesh [0.03%]
头颈部肿瘤适应性三维适形放疗与中国台湾三阴性同步放化疗资源限制单中心经验比较研究Bangladesh
Al-Amin,Pretam K Das,Samiron Kumar Saha et al.
Al-Amin et al.
Anatomical changes during Head and Neck Cancer (HNC) radiotherapy can compromise target volume dose coverage and Organs at Risk (OARs) sparing. This study evaluated the volumetric, dosimetric, clinical, and cost-effectiveness impacts of Ada...
Dose-report-driven body weight estimation in diagnostic CT using a practical machine learning framework [0.03%]
基于剂量报告的诊断CT中体重估算的实用机器学习框架
Hajime Ichikawa,Norikazu Koori,Shota Ichikawa et al.
Hajime Ichikawa et al.
In radiology practice, patient body weight is important for contrast media and radiopharmaceutical dosing, radiation dose management, and examination-related workflows, yet it is not consistently available in routine clinical settings. The ...
Quantifying the spatial information loss of Dose-Volume Histograms in Gamma Knife radiosurgery via unsupervised 3D dose geometry embedding [0.03%]
通过无监督3D剂量几何嵌入量化伽玛刀放射外科中剂量体积直方图的空间信息丢失程度
Omar Hamzaoui,Yassine Oulhouq,Mohammed Rezzoug et al.
Omar Hamzaoui et al.
Dose-Volume Histograms (DVH) discard spatial information by summarizing 3D distributions into 1D curves. This study quantifies this loss in Gamma Knife radiosurgery and introduces TopoGK, a novel unsupervised deep learning framework capturi...