首页> 美国卫生研究院文献>Frontiers in Neuroanatomy >Brodmann’s Area Template Based Region of Interest Setting and Probabilistic Pathway Map Generation in Diffusion Tensor Tractography: Application to the Arcuate Fasciculus Fiber Tract in the Human Brain
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Brodmann’s Area Template Based Region of Interest Setting and Probabilistic Pathway Map Generation in Diffusion Tensor Tractography: Application to the Arcuate Fasciculus Fiber Tract in the Human Brain

机译:基于布罗德曼面积模板的感兴趣区域设置和扩散张量术中概率路径图生成:在人脑弓状筋膜纤维术中的应用

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摘要

The purpose of this study is to acquire accurate diffusion tensor tractography (DTT) results for arcuate fasciculus (AF) fiber tract using Brodmann’s area (BA) template for region of interest (ROI) setting. Thirteen healthy subjects were participated in this study. Fractional anisotropy (FA) map of each subject was calculated using diffusion tensor data, and T1w template was co-registered to FA map. The BA template was also co-registered using the transformation matrix. The ROIs were drawn in the co-registered BA template, and AF fiber tract was extracted. To generate the probabilistic pathway map, a binary mask image was generated based on the fiber tract image and co-registered to T1w template image. We also measured relative location of the AF fiber tract. The location of the probabilistic pathway map of each subject’s AF fiber tract was well defined in the brain. By using this probabilistic map, the mediolateral position ratio of AF was measured 18%, and the anteroposterior position ratio of AF was measured 35%, respectively. This study demonstrated that the AF fiber tract can be extracted using BA template for ROI setting and probabilistic pathway of fiber tract. Our results and analytical approaches can helpful for accurate fiber tracking and application of perspective clinical researches.
机译:这项研究的目的是使用感兴趣区域(ROI)设置的Brodmann面积(BA)模板来获取弓形束(AF)纤维束的准确扩散张量束线术(DTT)结果。十三名健康受试者参加了这项研究。使用扩散张量数据计算每个受试者的分数各向异性(FA)图,并将T1w模板共注册到FA图。 BA模板也使用转换矩阵共同注册。在共同注册的BA模板中绘制ROI,并提取AF纤维束。为了生成概率路径图,基于纤维束图像生成二值掩模图像并将其共配准到T1w模板图像。我们还测量了AF纤维束的相对位置。每个受试者的AF纤维束的概率路径图的位置在大脑中已明确定义。通过使用该概率图,AF的外侧位置比例被测量为18%,AF的前后位置比例被测量为35%。这项研究表明,可以使用BA模板提取AF纤维束,以设置ROI和纤维束的概率途径。我们的结果和分析方法有助于准确的纤维追踪和前景临床研究的应用。

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