A robust MR-based attenuation map generation in short-TE MR images of the head employing hybrid spatial fuzzy C-means clustering and intensity inhomogeneity correction [0.03%]
基于短_TE 头部 MRI 图像的稳健的基于 MR 的衰减图生成，采用混合空间模糊 C 均值聚类和强度不均匀性校正方法
Mohammad Hadi Aarabi,Anahita Fathi Kazerooni,Parisa Khateri et al.
Mohammad Hadi Aarabi et al.
A fully automated and reproducible level-set segmentation approach for generation of MR-based attenuation correction map of PET images in the brain employing single STE-MR imaging modality [0.03%]
一种基于单模态STE-MRI的全自动化、可重复性的水平集合分割方法生成脑部PET图像的MR-based衰减修正图
Anahita Fathi Kazerooni,Mohammad Hadi Aarabi,Mohammadreza Ay et al.
Anahita Fathi Kazerooni et al.
Comparison template-based with CT-based attenuation correction for hybrid MR/PET scanners [0.03%]
基于模板与CT的混合MR/PET扫描仪衰减校正比较研究
Elena Rota Kops,Hans Herzog,N Jon Shah
Elena Rota Kops
Liliana Caldeira,Juergen Scheins,Nuno da Silva et al.
Liliana Caldeira et al.
Highly accelerated Point-Spread Function mapping based on Finite Rate of Innovation for EPI distortion correction [0.03%]
基于有限创新率的高加速点扩散函数.mapping用于EPI失真校正
Rita G Nunes,Joseph V Hajnal
Rita G Nunes
Image reconstruction of mMR PET data using the open source software STIR [0.03%]
使用开源软件STIR进行mMR PET数据图像重建
Pawel Markiewicz,Kris Thielemans,Ninon Burgos et al.
Pawel Markiewicz et al.
Incorporation of MRI-AIF information for improved kinetic modelling of dynamic PET data [0.03%]
利用MRI获取动脉输入函数以改善动态PET数据的动力学模型拟合
Hasan Sari,Kjell Erlandsson,Kris Thielemans et al.
Hasan Sari et al.
Iterative reconstruction incorporating positron range correction within STIR framework [0.03%]
基于STIR框架的考虑正电子径迹效应的迭代图像重建方法
Ottavia Bertolli,Matteo Cecchetti,Niccolò Camarlinghi et al.
Ottavia Bertolli et al.
Preliminary evaluation of image quality in a new clinical ToF-PET/MR scanner [0.03%]
全新临床时域PET/MR扫描仪图像质量的初步评估
Gaspar Delso,Mehdi Khalighi,Marlena Hofbauer et al.
Gaspar Delso et al.
Initial evaluation of a practical PET respiratory motion correction method in clinical simultaneous PET/MRI [0.03%]
一种实用的临床PET/MRI呼吸运动校正方法的初步评价
Richard Manber,Kris Thielemans,Brian Hutton et al.
Richard Manber et al.