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Geometric Distortion Correction for Echo Planar Images Using Nonrigid Registration with Spatially Varying Scale

机译:使用具有空间变化尺度的非刚性配准对回波平面图像进行几何失真校正

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摘要

One method used to correct geometric and intensity distortions in Echo Planar images is to register them to undistorted images via nonrigid deformations. However some areas in the Echo Planar images are more distorted than others, thus suggesting the use of deformations whose characteristics are adapted spatially. In this paper, we incorporate into our previously developed registration algorithm a spatially varying scale mechanism, which adapts the local scale properties of the transformation by means of a scale map. To compute the scale map, a technique is proposed that relies on an estimate of the expected deformation field. This estimate is generated using knowledge of the physical processes that induce distortions in EPI images. We evaluate the method of spatially varying scale on both simulated and real data. We find that, in comparison with our earlier method using fixed scale, our new method finds deformation fields that are smoother and finds them faster without sacrificing accuracy.
机译:校正Echo Planar图像中几何和强度失真的一种方法是通过非刚性变形将它们注册为未失真的图像。但是,“回波平面”图像中的某些区域比其他区域更失真,因此建议使用特征在空间上适应的变形。在本文中,我们将空间变化的比例尺机制并入我们先前开发的配准算法中,该比例尺机制通过比例尺图来适应转换的局部比例尺属性。为了计算比例尺图,提出了一种技术,该技术依赖于预期变形场的估计。该估计值是使用在EPI图像中引起失真的物理过程的知识生成的。我们评估在模拟数据和真实数据上的空间变化尺度方法。我们发现,与我们以前使用固定比例尺的方法相比,我们的新方法可以找到更平滑的变形场,并且可以更快地找到变形场而不会降低精度。

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