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首页> 外文期刊>American Journal of Neuroradiology >Method for Combining Information from White Matter Fiber Tracking and Gray Matter Parcellation
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Method for Combining Information from White Matter Fiber Tracking and Gray Matter Parcellation

机译:白物质纤维跟踪和灰物质分割信息融合的方法

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摘要

Summary: We introduce a method for combining fiber tracking from diffusion-tensor (DT) imaging with cortical gray matter parcellation from structural high-spatial-resolution 3D spoiled gradient-recalled acquisition in the steady state images. We applied this method to a tumor case to determine the impact of the tumor on white matter architecture. We conclude that this new method for combining structural and DT imaging data is useful for understanding cortical connectivity and the localization of fiber tracts and their relationship with cortical anatomy and brain abnormalities.
机译:摘要:我们介绍了一种将扩散张量(DT)成像中的纤维跟踪 与皮质高分辨3D损坏的 < / sup>渐变-调用稳态图像中的采集。我们 将此方法应用于肿瘤病例,以确定肿瘤对白质结构的影响。我们得出结论, 这种结合结构和DT成像数据的新方法 对于理解皮质连接性和纤维束的定位 及其与它们之间的关系非常有用。皮质解剖 和脑部异常。

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  • 来源
    《American Journal of Neuroradiology》 |2004年第8期|00001318-00001324|共7页
  • 作者单位

    Clinical Neuroscience Division, Laboratory of Neuroscience, Boston VA Health Care System—Brockton Division, Department of Psychiatry, Harvard Medical School, Boston, MA|the Surgical Planning Laboratory, MR Imaging Division, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA|the Department of Diagnostic Radiology, Yonsei University, College of Medicine, Seoul, Korea;

    Clinical Neuroscience Division, Laboratory of Neuroscience, Boston VA Health Care System—Brockton Division, Department of Psychiatry, Harvard Medical School, Boston, MA|the Surgical Planning Laboratory, MR Imaging Division, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA;

    the Surgical Planning Laboratory, MR Imaging Division, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA|the Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA;

    the Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA;

    the Surgical Planning Laboratory, MR Imaging Division, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA;

    the Surgical Planning Laboratory, MR Imaging Division, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA;

    the Surgical Planning Laboratory, MR Imaging Division, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA|the Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA;

    the Surgical Planning Laboratory, MR Imaging Division, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA|the Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA;

    Clinical Neuroscience Division, Laboratory of Neuroscience, Boston VA Health Care System—Brockton Division, Department of Psychiatry, Harvard Medical School, Boston, MA;

    Clinical Neuroscience Division, Laboratory of Neuroscience, Boston VA Health Care System—Brockton Division, Department of Psychiatry, Harvard Medical School, Boston, MA|the Surgical Planning Laboratory, MR Imaging Division, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA;

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