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首页> 外文会议>Conference on Medical Imaging 2008: Imaging Processing; 20080217-19; San Diego,CA(US) >The evaluation of a population based diffusion tensor image atlas using a ground truth method
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The evaluation of a population based diffusion tensor image atlas using a ground truth method

机译：使用地面真值方法评估基于种群的扩散张量图像图集

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Purpose: Voxel based morphometry (VBM) is increasingly being used to detect diffusion tensor (DT) image abnormalities in patients for different pathologies. An important requisite for these VBM studies is the use of a high-dimensional, non-rigid coregistration technique, which is able to align both the spatial and the orientational information. Recent studies furthermore indicate that high-dimensional DT information should be included during coregistration for an optimal alignment. In this context, a population based DTI atlas is created that preserves the orientational DT information robustly and contains a minimal bias towards any specific individual data set. Methods: A ground truth evaluation method is developed using a single subject DT image that is deformed with 20 deformation fields. Thereafter, an atlas is constructed based on these 20 resulting images. Thereby, the non-rigid coregistration algorithm is based on a viscous fluid model and on mutual information. The fractional anisotropy (FA) maps as well as the DT elements are used as DT image information during the coregistration algorithm, in order to minimize the orientational alignment inaccuracies. Results: The population based DT atlas is compared with the ground truth image using accuracy and precision measures of spatial and orientational dependent metrics. Results indicate that the population based atlas preserves the orientational information in a robust way. Conclusion: A subject independent population based DT atlas is constructed and evaluated with a ground truth method. This atlas contains all available orientational information and can be used in future VBM studies as a reference system.
机译：目的：基于体素的形态计量学（VBM）越来越多地用于检测不同病理情况下患者的弥散张量（DT）图像异常。这些VBM研究的重要前提是使用高维，非刚性的整合技术，该技术能够使空间信息和定向信息保持一致。最近的研究进一步表明，为了获得最佳对准，应在配准过程中包括高维DT信息。在这种情况下，将创建一个基于人群的DTI地图集，该地图集可以稳固地保留定向DT信息，并且对任何特定的个人数据集的偏差都最小。方法：使用经过20个变形场变形的单个对象DT图像，开发了地面真相评估方法。此后，根据这20个结果图像构建图集。因此，非刚性配准算法基于粘性流体模型并且基于互信息。分数各向异性（FA）映射以及DT元素在核心配准算法期间用作DT图像信息，以最大程度地减少方向对准的不准确性。结果：使用基于空间和方向的度量的精确度和精确度，将基于人口的DT地图集与地面真实图像进行比较。结果表明，基于人群的地图集以可靠的方式保留了方向信息。结论：构建了基于受试者独立人群的DT地图集，并采用了地面真理方法进行了评估。该地图集包含所有可用的方向信息，并且可以在将来的VBM研究中用作参考系统。

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