磁导率
灌注
材料科学
核磁共振
磁共振成像
生物医学工程
灌注扫描
化学
过程(计算)
分析化学(期刊)
磁场
快速自旋回波
成像技术
定点自旋标记
钥匙(锁)
物理
作者
Qinqin Yang,Jianfeng Bao,Lu Wang,Nien‐Hui Ge,Xiaoyue Ma,Shuhui Cai,Zhong Chen,Yong Zhang,Ali Gholipour,Congbo Cai
摘要
PURPOSE: mapping for perfusion MRI. METHODS: -related effects, providing training data for an end-to-end deep learning model that enables efficient multiparametric quantification. In addition, a signal-to-concentration model tailored for dynamic MOLED signals was formulated for accurate estimation of permeability and leakage-corrected perfusion parameters. The proposed technique was validated in water phantom experiments, healthy volunteers, and a pilot clinical study. RESULTS: mapping in the brain. Compared to conventional SAGE-EPI, SAGE-MOLED mitigated geometric distortions and intravoxel dephasing-related signal loss. In perfusion MRI, dynamic SAGE-MOLED enabled simultaneous permeability and leakage-corrected perfusion parameter estimation with a single-dose contrast injection. CONCLUSION: maps for simultaneous quantification of permeability and perfusion parameters.
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