Noise characteristics in synthetic mammography derived from digital breast tomosynthesis: a comparison with conventional digital mammography [0.03%]
基于数字乳腺断层合成的合成乳房X线摄影中的噪声特性及其与常规数字化乳房X线摄影的比较研究
Sho Maruyama,Hiroki Saitou,Kazumi Sogabe
Sho Maruyama
Synthetic mammography (SM) derived from digital breast tomosynthesis differs fundamentally from conventional digital mammography (DM) in noise characteristics; however, these differences remain poorly understood. This study aimed to compreh...
Comparison of DVH-based machine learning and 3D convolutional neural network approaches for automated VMAT planning in head and neck cancer [0.03%]
基于DVH的机器学习和3D卷积神经网络在头颈部癌症VMAT自动计划中的比较研究
Takuya Nakamura,Hirofumi Yamasaki,Tomohiko Kawachino et al.
Takuya Nakamura et al.
This study compared a dose-volume histogram-based machine learning (ML) approach with a three-dimensional dose distribution-based convolutional neural network (CNN) approach for volumetric-modulated arc therapy planning in head and neck can...
Low-kVp techniques for radiation dose optimization in abdominopelvic contrast-enhanced CT: a scoping review [0.03%]
低KV技术在腹盆部增强CT中剂量优化中的作用：系统综述
Nitika C Panakkal,Rajagopal Kadavigere,Suresh Sukumar et al.
Nitika C Panakkal et al.
Contrast-enhanced computed tomography (CECT) of the abdomen and pelvis is widely used for diagnostic imaging but contributes substantially to cumulative medical radiation exposure. Low tube voltage (kVp) imaging has gained attention as a pr...
Dnq-unet: a two-level fusion framework for few-shot domain adaptation in cervical cancer CTV segmentation [0.03%]
基于两级融合的宫颈癌CTV分割少量样本域适应方法研究
Boying Li,Yihui Liu,Yanfei Pan et al.
Boying Li et al.
To develop and validate a two-level hierarchical fusion architecture enabling efficient few-shot domain adaptation for cervical cancer clinical target volume (CTV) auto-segmentation across different institutional imaging and contouring sett...
Comparison of platinum and gold fiducial markers for prostate radiotherapy: a phantom study [0.03%]
用于前列腺放射治疗的铂金和黄金定位标记物的模体研究比较
Noriyuki Mihashi,Ryoichi Hinoto,Takatsugu Kawase et al.
Noriyuki Mihashi et al.
Gold fiducial markers (GMs) are widely used in prostate radiotherapy; however, their magnetic susceptibility can reduce visibility on T2-weighted (T2w) MRI and may compromise CT-MRI registration. Using coil-shaped platinum fiducial markers ...
Evaluation of super-resolution deep learning reconstruction on three-dimensional constructive interference in steady state for enhanced visualization of vestibular schwannomas [0.03%]
超分辨率深度学习重建在三维稳态构建干涉序列中听神经瘤成像的评估研究
Akira Katayama,Koichiro Yasaka,Miori Fujimoto et al.
Akira Katayama et al.
We evaluated whether, compared with conventional deep learning reconstruction (DLR) and zero-filling interpolation (ZIP), super-resolution DLR (SR-DLR) enhances the visualization of vestibular schwannomas and cranial nerves in three-dimensi...
Metal artifact reduction in maxillofacial bone imaging with dental restorations: efficacy of the MRI pointwise encoding time reduction with radial acquisition sequence versus CT [0.03%]
含口腔修复体的颌骨金属伪影减少：MRI-POSDR与CT比较
Yuji Kurosawa,Mai Kim,Keisuke Suzuki et al.
Yuji Kurosawa et al.
Pointwise Encoding Time Reduction with Radial Acquisition (PETRA) is an ultra-short echo time (UTE) MRI sequence that effectively reduces metal artifacts. Although UTE-MRI is useful for maxillofacial bone imaging, its metal artifact reducti...
A data-driven scientific approach to explore the relationship between MGMT methylation and imaging phenotype in glioblastoma [0.03%]
基于数据的科学方法探索胶质母细胞瘤中MGMT甲基化与影像表型之间的关系
Sakura Sugyo,Mio Ishii,Mazen Soufi et al.
Sakura Sugyo et al.
Glioblastoma is a highly malignant brain tumor, and patient survival remains short despite multimodal treatment. One important prognostic factor is the methylation status of the O⁶-methylguanine DNA methyltransferase (MGMT) gene, as MGMT p...
Improved delineation of the cystic artery using super-resolution deep learning reconstruction in contrast-enhanced abdominal computed tomography [0.03%]
基于对比剂增强腹部CT的超分辨率深度学习重建在囊性动脉描绘中的应用价值研究
Akira Katayama,Koichiro Yasaka,Yasunori Hamaguchi et al.
Akira Katayama et al.
This study aimed to evaluate the image quality and delineation of the cystic artery and related abdominal vessels using Super-Resolution Deep Learning Reconstruction (SR-DLR) on contrast-enhanced computed tomography (CT), compared with stan...
Evaluation of a bolus-tracking method based on a pitch-correction formula for lower-extremity CT angiography [0.03%]
基于螺距校正公式的基础团注追踪法在下肢CTA中评价研究
Ryota Abe,Takanori Masuda,Hiroyuki Kurokawa et al.
Ryota Abe et al.
To assess the clinical utility of a novel scan-timing protocol Pitch Optimized Bolus Tracking (POBT) for lower-extremity CT angiography (CTA). The POBT method individualizes the helical pitch on the basis of patient-specific cardiac output,...