弥散张量磁共振成像(DT-MRI)的脑白质纤维追踪成像利用脑白质水分子弥散构成的弥散张量信息追踪脑白质纤维束并无创重建其3维结构图像。针对现有追踪方法一般以局部体素的弥散张量为主要追踪依据,缺乏对纤维结构、弥散度等人体解剖结构...弥散张量磁共振成像(DT-MRI)的脑白质纤维追踪成像利用脑白质水分子弥散构成的弥散张量信息追踪脑白质纤维束并无创重建其3维结构图像。针对现有追踪方法一般以局部体素的弥散张量为主要追踪依据,缺乏对纤维结构、弥散度等人体解剖结构和生理机能的综合考量的缺陷,该文基于贝叶斯理论框架综合分析追踪路径与各体素弥散张量方向和纤维束几何结构相关性,并使用弥散度和追踪纤维角度对两者进行约束,获得各步追踪方向的概率密度分布,通过Markov Chain Monte Carlo采样确定其追踪方向进行追踪成像,通过多次追踪获得具有统计意义的3维结果。最后利用文中方法在合成弥散张量数据上进行了成像仿真,在真实脑部DT-MRI数据上进行了成像实验。仿真和实验结果表明,该方法能实现预期的脑白质纤维追踪成像,比现有追踪成像方法结果更可靠,可重复性更强。展开更多
利用脑部的扩散张量磁共振图像(d iffus ion tensorm agnetic resonance im ag ing,DT-M R I),探索对阿尔茨海默病计算机辅助诊断方法,提出了一种线性识别方法。对9例阿尔茨海默病患者和9例正常人脑部在1.5 T磁共振成像系统上作DT-M R ...利用脑部的扩散张量磁共振图像(d iffus ion tensorm agnetic resonance im ag ing,DT-M R I),探索对阿尔茨海默病计算机辅助诊断方法,提出了一种线性识别方法。对9例阿尔茨海默病患者和9例正常人脑部在1.5 T磁共振成像系统上作DT-M R I扫描。测量胼胝体膝部、胼胝体压部和海马的表观扩散系数和各向异性分数。对这些参数进行了统计,以训练识别器。用留一法估算,得到识别正确率为83.33%。结果表明,DT-M R I图像可以反映阿尔茨海默患者脑部的受损情况,该识别方法能为阿尔茨海默病的临床诊断提供帮助。展开更多
A new approach for noninvasively tracing brain white matter fiber tracts is presented using diffusion tensor magnetic resonance imaging (DT-MRI) data. This technique is based on successive anisotropic diffusion simula...A new approach for noninvasively tracing brain white matter fiber tracts is presented using diffusion tensor magnetic resonance imaging (DT-MRI) data. This technique is based on successive anisotropic diffusion simulations over the human brain, which are utilized to construct three dimensional diffusion fronts. The fiber pathways are determined by evaluating the distance and orientation from fronts to their corresponding diffusion seeds. Real DT-MRI data are used to demonstrate the tracking scheme. It is shown that several major white matter fiber pathways can be reproduced noninvasively, with the tract branching being allowed. Since the diffusion simulation,which is a truly physical phenomenon reflecting the underlying architecture of cerebral tissues, makes full use of the entire diffusion tensor data, the proposed approach is expected to enhance robustness and reliability of the DT-MRI based fiber tracking techniques in white matter fiber reconstruction.展开更多
文摘弥散张量磁共振成像(DT-MRI)的脑白质纤维追踪成像利用脑白质水分子弥散构成的弥散张量信息追踪脑白质纤维束并无创重建其3维结构图像。针对现有追踪方法一般以局部体素的弥散张量为主要追踪依据,缺乏对纤维结构、弥散度等人体解剖结构和生理机能的综合考量的缺陷,该文基于贝叶斯理论框架综合分析追踪路径与各体素弥散张量方向和纤维束几何结构相关性,并使用弥散度和追踪纤维角度对两者进行约束,获得各步追踪方向的概率密度分布,通过Markov Chain Monte Carlo采样确定其追踪方向进行追踪成像,通过多次追踪获得具有统计意义的3维结果。最后利用文中方法在合成弥散张量数据上进行了成像仿真,在真实脑部DT-MRI数据上进行了成像实验。仿真和实验结果表明,该方法能实现预期的脑白质纤维追踪成像,比现有追踪成像方法结果更可靠,可重复性更强。
文摘利用脑部的扩散张量磁共振图像(d iffus ion tensorm agnetic resonance im ag ing,DT-M R I),探索对阿尔茨海默病计算机辅助诊断方法,提出了一种线性识别方法。对9例阿尔茨海默病患者和9例正常人脑部在1.5 T磁共振成像系统上作DT-M R I扫描。测量胼胝体膝部、胼胝体压部和海马的表观扩散系数和各向异性分数。对这些参数进行了统计,以训练识别器。用留一法估算,得到识别正确率为83.33%。结果表明,DT-M R I图像可以反映阿尔茨海默患者脑部的受损情况,该识别方法能为阿尔茨海默病的临床诊断提供帮助。
文摘A new approach for noninvasively tracing brain white matter fiber tracts is presented using diffusion tensor magnetic resonance imaging (DT-MRI) data. This technique is based on successive anisotropic diffusion simulations over the human brain, which are utilized to construct three dimensional diffusion fronts. The fiber pathways are determined by evaluating the distance and orientation from fronts to their corresponding diffusion seeds. Real DT-MRI data are used to demonstrate the tracking scheme. It is shown that several major white matter fiber pathways can be reproduced noninvasively, with the tract branching being allowed. Since the diffusion simulation,which is a truly physical phenomenon reflecting the underlying architecture of cerebral tissues, makes full use of the entire diffusion tensor data, the proposed approach is expected to enhance robustness and reliability of the DT-MRI based fiber tracking techniques in white matter fiber reconstruction.
