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首页> 外文期刊>Archives Italiennes de Biologie >Virtual Brain Transplantation (VBT): A method for accurate image registration and parcellation in large cortical stroke
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Virtual Brain Transplantation (VBT): A method for accurate image registration and parcellation in large cortical stroke

机译:虚拟脑移植(VBT):一种用于在大皮层卒中中准确进行图像配准和分割的方法

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The objective of the current study was to develop a semi-automated method to register and parcellate lesioned brains in a surface space with anatomical accuracy, facilitating group-level fMRI analyses in patients with large cortical strokes. Methods: Thirteen chronic patients with a single large left hemisphere stroke were included in the study. Our "virtual brain transplantation" (VBT) approach is based on pre-processing high resolution anatomical T1-weighted brain images by "filling in" the lesion with "transplanted virtual tissue" from the non-stroke hemisphere, providing "normal" anatomical landmarks for standard alignment and inflation algorithms developed for healthy individuals. Biological validation of the approach was performed by quantifying in Freesurfer space the areas of 12 hand-drawn sulci found inside and outside the stroke following "transplantation". Results: Our results show no difference in the Freesurfer parcellation of 12 different regions when comparing a lesioned hemisphere with the non-lesioned hemisphere, attesting for the validity of the anatomical classification in the stroke hemisphere. As consequence of the anatomical precision, this method permits a more detailed and quantifiable anatomical description of the regions affected directly by the stroke. Conclusions: This method permits accurate surface reconstruction of the injured hemisphere after stroke by making it possible to extract the cortical surface from these images and to utilize this in software modules (FreeSurfer) specialized for aligning cortical surfaces using high-dimensionality warping algorithms. In addition, it permits quantifying, within bounds, the extent to which the lesion in question is associated with damage to particular regions of the cortical surface, information that is of explanatory value in models that attempt to explain brain-behavior relations using lesion analysis.
机译:当前研究的目的是开发一种半自动化的方法,以解剖学上的准确性在表面空间记录和消融病变大脑,从而促进大皮质卒中患者的组级功能磁共振成像分析。方法:13名患有单个左半球大卒中的慢性患者被纳入研究。我们的“虚拟脑移植”(VBT)方法基于预处理的高分辨率解剖T1加权脑图像,方法是用来自非卒中半球的“已移植虚拟组织”“填充”病变,从而提供“正常”解剖学标志针对健康个体开发的标准比对和充气算法。该方法的生物学验证是通过在Freesurfer空间中量化“移植”后在中风内外发现的12个手绘沟的面积来进行的。结果:我们的结果显示,将病变半球与非病变半球进行比较时,在12个不同区域的Freesurfer分割中没有差异,证明了卒中半球中解剖分类的有效性。由于解剖精度,这种方法可以对受笔画直接影响的区域进行更详细和可量化的解剖描述。结论:该方法允许通过从这些图像中提取皮层表面,并在专门用于使用高维翘曲算法对齐皮层表面的软件模块(FreeSurfer)中利用该图像,来精确绘制卒中后受伤半球的表面。另外,它允许在一定范围内量化所讨论的病变与对皮质表面特定区域的损害相关的程度,该信息在试图使用病变分析来解释脑与行为关系的模型中具有解释价值。

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