Branchless distance-driven and hybrid projectors in iterative cone beam CT [0.03%]
无分支距离驱动和混合投影器在迭代锥束CT中的应用
Ville-Veikko Wettenhovi,Ari Hietanen,Nargiza Djurabekova et al.
Ville-Veikko Wettenhovi et al.
PurposeIterative model-based image reconstruction algorithms in cone beam computed tomography (CBCT) require repetitive forward and backward projection operations. We compare the quality of the branchless distance-driven (BDD) projector in ...
Image quality and radiation dose assessment of Thai - made 2D and 3D dental extraoral imaging scanners [0.03%]
国产二维和三维口腔体外影像扫描仪的图像质量和辐射剂量评估
Saowapak S Thongvigitmanee,Kittipong Kasantikul,Chalinee Thanasupsombat et al.
Saowapak S Thongvigitmanee et al.
In comparison to conventional medical computed tomography (CT), cone-beam CT (CBCT) has become widely used in dental and maxillofacial applications due to its accurate 3D information, high resolution, minimal radiation dose, and affordable ...
Enhanced X-ray image denoising via the synergy of linear attention and convolution [0.03%]
基于线性注意力和卷积协同的增强X射线图像去噪方法
Yue Fei,Xiaolong Zheng,Wangyang Tong et al.
Yue Fei et al.
X-ray imaging technology, as the core non-invasive inspection method, plays an irreplaceable role in industrial non-destructive testing and medical diagnosis. However, during signal acquisition, the imaging system faces multiple interferenc...
Low-dose CT reconstruction network based on the unfoldment of second-order TGV [0.03%]
基于二次TGV解开的低剂量CT重建网络
Hangqi Wu,Pengcheng Zhang,Shu Li et al.
Hangqi Wu et al.
BackgroundTotal generalized variation (TGV) based CT iterative reconstruction algorithm has the ability to effectively suppress the staircase effects caused by the piecewise constant assumption of total variation regularization. By unrollin...
Improved L1/L2 minimization algorithm for segmental limited-angle CT reconstruction [0.03%]
改进的L1/L2最小化算法在节段型有限角度CT重建中的应用
Changcheng Gong,Hongxia Wang,Jie Chen
Changcheng Gong
Computed tomography (CT) technology is widely used in medical imaging, industrial non-destructive testing, and archaeological exploration. However, its application is often limited by issues such as high radiation doses or long scanning tim...
PCOR-net: A prototype-enhanced contrastive ordinal regression network for pneumoconiosis staging [0.03%]
一种改进的对比序数回归网络用于尘肺病分期
Guohua Ji,Juanjuan Zhao,Surong Chu et al.
Guohua Ji et al.
BackgroundPneumoconiosis is one of the most severe occupational diseases, and accurate staging is essential for treatment planning and disease management. However, the visual features on chest X-rays are often subtle and exhibit gradual tra...
Segmenting multi-modal abdominal multi-organ using the CADSTransN-Net model [0.03%]
使用CADSTransN网络模型分割多模式腹部多器官
Peng Sun,Guichong Wu,Yutao Tan et al.
Peng Sun et al.
Deep learning advances medical imaging segmentation, but the insufficient diversity of datasets limits its performance. The AMOS22 dataset addresses this by providing large-scale, varied clinical data to enhance algorithm robustness.Purpose...
Hai Wang,Yanwen Wu,Shaoyu Wang et al.
Hai Wang et al.
Static computed tomography (CT) is an advanced 3D measurement technology. It offers key instrumentation advantages by reducing motion-induced artifacts, preserving measurement accuracy, and lowering radiation doses- critical factors for pre...
Detail preservation sparse-view CT image reconstruction via range-null space decomposition based diffusion priors [0.03%]
基于范围-零空间分解的扩散先验的低剂量CT图像重建方法
Qiaofang Xing,Ailong Cai,Zhizhong Zheng et al.
Qiaofang Xing et al.
BackgroundSparse-view CT reduces radiation dose by decreasing the number of projections, yet the resulting undersampling introduces severe artifacts in images reconstructed with traditional analytical algorithms. Recent diffusion posterior ...
A Two-Module Parallel Dual-Domain Network for interior tomography reconstruction [0.03%]
一种用于内腔断层融合的双模块并行双域网络方法
Haihang Zhao,Pengxiang Ji,Yongzhou Wu et al.
Haihang Zhao et al.
BackgroundInterior tomography is a crucial technique in computed tomography (CT) that aims to minimize radiation exposure by limiting X-ray imaging to the region of interest (ROI) while maintaining diagnostic accuracy. However, traditional ...