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作 者:张光玉[1] 徐龙春[2] 张敏风 邹越[3] 张岗[3] 赵文波[3] 秦健[2] 杨贵华[2] 姜娇娇[1] 闫呈新[2] 宋莉[1] 朱建忠[2]
机构地区:[1]泰山医学院放射学院,山东泰安271016 [2]泰山医学院附属医院影像科,山东泰安271000 [3]泰山医学院附属医院耳鼻喉科,山东泰安271000
出 处:《中国医学物理学杂志》2017年第7期681-685,共5页Chinese Journal of Medical Physics
基 金:山东省自然科学基金(ZR2015HL095;ZR2014HL093);山东省医药卫生科技发展计划项目(2016WS0608);泰山医学院博士启动基金(20092007);泰山医学院校级课题(2010ZR018)
摘 要:探讨NIFTI格式图像的多平面显示、功能和结构像的融合显示、基于三维重建的脑效应连接网显示方法,并分析各种显示方法的优缺点。仿真结果表明,多平面显示方法实现简单,能从多角度和多层次显示脑功能和结构的影像,但不能直接定位脑功能和结构区的空间位置;功能和结构像的融合显示方法能够对脑功能区进行高分辨率定位,有利于脑功能研究,但不能显示功能区间的因果联系;基于三维重建的脑效应连接网显示方法不但能显示因果连接网的节点拓扑属性,也能显示脑区间相互联系的因果关系,有利于疾病的影像学机理研究,但该显示方法实现复杂。NIFTI格式图像的各种显示方法,各有优缺点,在脑功能和结构研究中具有重要应用。Various methods for displaying medical images in neuroimaging informatics technology initiative(NIFTI) format,including multi-planar reconstruction, fusion of multi-planar functional and constructional magnetic resonance imaging(MRI)images, and three-dimensional reconstruction based brain effective connection network, were investigated, and their advantages and disadvantages were analyzed. The results of simulation indicate that the multi-planar reconstruction is easily fulfilled to display functional or constructional brain images of different slices and angles. However, the spatial position of functional or constructional brain regions cannot be located using multi-planar reconstruction. The fusion of multi-planar functional and constructional MRI images can be used to locate the functional brain region in high-resolution MRI, which is helpful in the investigation of the function of brain regions, but cannot be used for the analysis of regional causality connectivity. The three-dimensional reconstruction based brain effective connection network, which is limited due to complex computation, can be used to analyze the nodal topological characteristics of causality connectivity network and the regional causality connectivity, and to explore the neuroimaging mechanism of some diseases. These methods mentioned above have their advantages and disadvantages and are used for displaying medical images in NIFTI format, with significant application in the study of brain function and effective connection network.
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