Atlas-free brain segmentation in 3D proton-density-like MRI images

D. Schmitter, R. Delgado-Gonzalo, G. Krueger, M. Unser
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引用次数: 9

Abstract

We present a new method for the atlas-free brain segmentation of proton-density-like 3D MRI images. We show how steerable filters can be efficiently combined with parametric spline surfaces to produce a fast and robust 3D brain segmentation algorithm. The novelty lies in the computation of brain edge maps through optimal steerable surface detectors which provide efficient energies for the rapid optimization of snakes. Our experimental results show the promising potential of the method for fast and accurate brain extraction.
三维质子密度样MRI图像中无atlas的脑分割
我们提出了一种新的无图谱的质子密度类三维MRI图像脑分割方法。我们展示了可操纵滤波器如何有效地与参数样条曲面相结合,以产生快速和鲁棒的3D脑分割算法。新颖之处在于通过最优可操纵表面检测器计算脑边缘图,为蛇的快速优化提供了有效的能量。实验结果表明,该方法具有快速、准确提取大脑信息的潜力。
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