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中国生物医学工程学报  2021, Vol. 40 Issue (4): 419-428    DOI: 10.3969/j.issn.0258-8021.2021.04.05
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融合白质fMRI的dMRI纤维追踪重建研究
董小凤1, 杨智鹏2*, 吴锡1
1(成都信息工程大学计算机学院,成都 610225)
2(成都信息工程大学电子工程学院,成都 610225)
dMRI Fiber Tracking with Functional MRI of White Matter
Dong Xiaofeng1, Yang Zhipeng2*, Wu Xi1
1(School of Computer Science and Technology, Chengdu University of Information Technology, Chengdu 610225, China)
2(School of Electronic Engineering, Chengdu University of Information Technology, Chengdu 610225, China)
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摘要 基于弥散磁共振成像(dMRI)的纤维束重建,是分析大脑白质结构的主要工具。现有的纤维追踪成像算法受dMRI分辨率及成像机理约束,在构建大脑白质灰质边界区域的纤维时成像性能和准确性大大下降。为克服该缺陷,提出一种结合功能磁共振成像(fMRI)的新型dMRI纤维追踪成像算法。该算法引入表征白质中fMRI信号各向异性的空间相关张量间接描述纤维束的几何结构信息,结合粒子滤波理论估算追踪下一体素的方向概率分布,重建可靠连接白质灰质边界区域的三维结构。将所提出算法在8位成年人视觉刺激的功能图像上进行追踪成像实验,每例重建800根纤维,重建纤维的平均长度可达(18.47±1.82)mm,沿白质灰质界面流线端点的覆盖率为25.15%±1.86%。通过在视放射区域与DWI重建结果对比可看出,所提出的方法可有效重建大脑白质纤维路径,特别对由于部分容积效应导致对灰白质交界面纤维束重建存在较大误差的区域,较现有方法可获得更准确效果。
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董小凤
杨智鹏
吴锡
关键词 纤维追踪成像功能磁共振成像(fMRI)白质弥散磁共振成像(dMRI)粒子滤波    
Abstract:Diffusion MRI based tractography is the primary tool for mapping white matter structures in the brain. However, existing tractography algorithms are constrained by the diffusion MRI resolution and imaging mechanism, and the accuracy would greatly be reduced when streamlines enter the boundary region between white matter and gray matter. In order to overcome this defect, a new diffusion MRI tractography algorithm combined with functional magnetic resonance imaging is proposed in this work. We introduced the spatial correlation tensor derived from functional magnetic resonance imaging signal anisotropy in the white matter to indirectly describe the geometrical information of the fiber bundle. Then particle filter theory was used to estimate the directional probability distribution and reconstruct the three-dimensional structure of the boundary region of white matter. Finally, the proposed method was used to tracking on functional images of visual stimulation of 8 adults. There were 800 fibers reconstructed in each subject. The average length of the reconstructed fibers reached (18.47±1.82) mm and the coverage of streamline endpoints along the white matter gray matter interface reached 25.15%±1.86%. The results showed that the proposed method effectively reconstructed the white matter fiber path of the brain, especially the area where there were errors in the fiber bundle reconstruction of boundary area between the white matter and gray matter due to the partial volume effect. In conclusion, the proposed method can obtain more accurate results than the traditional tractography methods.
Key wordstractography    functional magnetic resonance imaging(fMRI)    white matter    diffusion magnetic resonance imaging(dMRI)    particle filter
收稿日期: 2019-03-14     
PACS:  R318  
基金资助:四川省重点研发项目(2018GZ0184)
通讯作者: * E-mail: yangzp@cuit.edu.cn.   
引用本文:   
董小凤, 杨智鹏, 吴锡. 融合白质fMRI的dMRI纤维追踪重建研究[J]. 中国生物医学工程学报, 2021, 40(4): 419-428.
Dong Xiaofeng, Yang Zhipeng, Wu Xi. dMRI Fiber Tracking with Functional MRI of White Matter. Chinese Journal of Biomedical Engineering, 2021, 40(4): 419-428.
链接本文:  
http://cjbme.csbme.org/CN/10.3969/j.issn.0258-8021.2021.04.05     或     http://cjbme.csbme.org/CN/Y2021/V40/I4/419
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