Correction: Establishing discard criteria for lead aprons using deep learning-based quantification of defect area on X-ray fluoroscopic video [0.03%]
关于使用基于深度学习的X射线荧光视频缺陷面积量化方法建立铅围裙弃用标准的更正文章
Koichi Hanada,Haruka Suzuki,Masato Takahashi et al.
Koichi Hanada et al.
Published Erratum
Radiological physics and technology. 2026 Aug 8. DOI:10.1007/s12194-026-01116-z 2026
AI-based reconstruction from low-resolution acquisitions for diffusion MRI: evaluation of FOD similarity [0.03%]
基于人工智能的从低分辨率采集重建扩散加权MRI的新方法及其纤维束方向张量相似性评价研究
Akihiro Kasahara,Yuichi Suzuki,Kazuki Endo et al.
Akihiro Kasahara et al.
MRI provides essential insights into tissue microstructure, and high angular resolution diffusion imaging (HARDI) enables detailed assessment of complex white matter architecture through fiber orientation distribution (FOD) analysis. Howeve...
Effect of 70-kVp chest CT on surface dose at the mammary gland level in a neonatal phantom under matched CTDIvol conditions [0.03%]
匹配CTDIvol条件下70kVp胸部CT对新生儿体模乳癌水平表面剂量的影响研究
Nanami Usui,Takanori Masuda,Norimi Nishiyama et al.
Nanami Usui et al.
To compare surface dose at the mammary gland level between 70- and 120-kVp non-contrast neonatal chest computed tomography (CT) under matched volume CT dose index (CTDIvol) conditions, a neonatal anthropomorphic phantom was scanned using a ...
99mTechnetium SPECT-guided functional liver-sparing radiotherapy planning for recurrent hepatocellular carcinoma: a dosimetric comparison [0.03%]
锝-99m亲肿瘤显像指导的肝细胞癌复发再程放疗肝脏避让剂量学计划比较研究
Takuya Taniguchi,Kazutaka Miki,Kosei Adachi et al.
Takuya Taniguchi et al.
The aim of this study was to establish an optimal treatment strategy for functional liver-sparing radiotherapy by incorporating technetium-99 m galactosyl human serum albumin (99mTc-GSA) single-photon emission computed tomography (SPECT) in...
Spine-anchored active contour-based renal spatial prioritization for precision-constrained volumetric segmentation of bilateral nephric tumors via spine-guided 3D deep encoders in abdominopelvic tomographic data [0.03%]
基于主动轮廓的脊柱锚定肾空间优先级技术，用于通过脊柱引导的3D深度编码器在腹盆部层解剖数据中约束体积分割的双侧肾脏肿瘤精准定位
Mohit Pandey,Abhishek Gupta,Manoj Kumar Gupta et al.
Mohit Pandey et al.
Bilateral renal tumors have proven challenging to precisely segment out of abdominopelvic CT scans. In this regard, the present paper explores a hybridization technique based on spine anchoring using active contour modelling and spatial pri...
Internal feasibility evaluation of SAM-Med3D for cervical cancer clinical target volume segmentation on planning computed tomography [0.03%]
基于计划CT的宫颈癌临床靶区体积分割对SAM-Med3D的内部可行性评估
Bo-Ying Li,Ting Fan,Jia-Yan Chen et al.
Bo-Ying Li et al.
Accurate delineation of cervical cancer clinical target volume (CTV) remains labor-intensive and variable. This retrospective single-center study internally evaluated a SAM-Med3D baseline initialized from public pretrained weights and fine-...
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...