A novel projection data domain material decomposition method for dual-energy CT and its impact on the accuracy of attenuation values [0.03%]
一种新型投影数据域材料分解方法及其对CT双能量成像衰减值准确性的影响研究
Viktor Haase,Frédéric Noo,Karl Stierstorfer et al.
Viktor Haase et al.
Despite major advances in dual-energy CT, obtaining accurate attenuation values for quantitative applications remains a technical challenge. To address this topic, we introduce a novel projection data domain material decomposition method th...
DBFANet: a dual-branch feature alignment network for automated detection of breast cancer bone metastasis [0.03%]
一种用于自动检测乳腺癌骨转移的双分支特征对齐网络(DBFANet)
Gang Liu,Qiang Lin,Xianwu Zeng et al.
Gang Liu et al.
Bone scan imaging for the detection of bone metastasis of breast cancer has been widely adopted; however, noise, anatomy superimposition, and small size for early lesions will severely affect its prediction performance. In this work, we pro...
A tumor control probability model for elective nodal irradiation to balance toxicity and regional tumor control in treatment plan optimization for head-and-neck squamous cell carcinoma [0.03%]
头颈部鳞状细胞癌治疗计划优化中平衡毒性与区域肿瘤控制的可选淋巴结照射肿瘤控制概率模型
Kristoffer Moos,Muriel Baldinger,Yoel Samuel Pérez Haas et al.
Kristoffer Moos et al.
Objective: Elective nodal irradiation (ENI) is common clinical practice for many cancer sites including head-and-neck squamous cell carcinoma (HNSCC). ENI is performed to increase regional tumor control (TCP) but contribu...
Landmark matching and B-spline implicit neural representations for diffusion-weighted imaging distortion correction [0.03%]
基于地标匹配和B样条隐式神经表示的弥散加权像畸变校正方法
Yunxiang Li,Yen-Peng Liao,Yan Dai et al.
Yunxiang Li et al.
Geometric distortions in diffusion-weighted imaging (DWI) compromise accurate tumor delineation and spatial localization, limiting its utility in radiation therapy planning and response monitoring. These distortions can be corrected through...
Regional ventilation imaging in normal and bronchoconstricted in vivo rabbit lungs using dynamic shuttle mode Xe-enhanced DECT imaging [0.03%]
动态穿梭模式下129Xe增强双能量CT在支气管痉挛家兔肺部通气功能成像中的应用研究
Emma Verelst,Sam Bayat,Sylvia Verbanck et al.
Emma Verelst et al.
Objective
To investigate dynamic shuttle-mode xenon (Xe)-enhanced dual-energy CT (Xe-DECT) imaging for a regional assessment of ventilation in in vivo rabbit lungs.

Approach
Four mechanically ventilated rabbits were scanned...
Yoel Samuel Pérez Haas,Lena Kretzschmar,Bertrand Pouymayou et al.
Yoel Samuel Pérez Haas et al.
Online-adaptive, Magnetic-Resonance-(MR)-guided radiotherapy on a hybrid MR-linear accelerators enables stereotactic body radiotherapy (SBRT) of abdominal/pelvic tumors with large interfractional motion. However, overlaps between planning t...
Investigating the timing behavior of Compton scattering in BGO for time-of-flight PET [0.03%]
探究BGO中康普顿散射的时间行为以进行飞行时间型正电子发射断层扫描
Minseok Yi,Daehee Lee,Alberto Gola et al.
Minseok Yi et al.
Objective: Bismuth germanate (BGO) has regained attention as a promising material for hybrid Cherenkov/scintillation time-of-flight positron emission tomography (TOF-PET). While excellent timing performance has been demonstrated in single-c...
Deep-learning-based spectral motion artifact correction on photon-counting cardiac CT images [0.03%]
基于深度学习的光子计数心脏CT图像频谱运动伪影校正方法
Ruihan Huang,Karin Larsson,Dennis Hein et al.
Ruihan Huang et al.
While photon-counting CT (PCCT) improves image quality and reduces radiation dose, artifacts induced by cardiac and respiratory motion is still a challenge. The purpose of this work is to evaluate the potential of an image-domain motion-art...
Generative deep learning synthesizes high signal-to-noise ratio sensitivity maps for PET from low count direct normalization data [0.03%]
基于低计数直接规范数据的生成式深度学习PET高信噪比敏感性图合成法
Mojtaba Jafaritadi,Andrew Groll,Myungheon Chin et al.
Mojtaba Jafaritadi et al.
An accurate and precise normalization procedure is essential to correct
for variations in detector efficiency in reconstructed positron emission tomography
(PET) images. Direct normalization is a conventional approach that requires ...
Influence of personalized human head modeling and resolution on EEG source localization for rapid brain mapping [0.03%]
个性化的人体头部模型和分辨率对快速脑图定位的影响
Masamune Niitsu,Sachiko Kodera,Yoshiki Kubota et al.
Masamune Niitsu et al.
Objective: To evaluate the trade-offs among model resolution, anatomical fidelity, computational cost, and localization accuracy in EEG source imaging using personalized head models. Special emphasis was placed on segment...