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REGISTRATION OF ULTRASOUND IMAGES USING AN INFORMATION-THEORETIC FEATURE DETECTOR

机译:使用信息论特征检测器进行超声图像配准

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In this paper, we present a new method for ultrasound image registration. For each image to be registered, our method first applies an ultrasound-specific information-theoretic feature detector, which is based on statistical modeling of speckle and provides a feature image that robustly delineates important edges in the image. These feature images are then registered using differential equations, the solution of which provides a locally optimal transformation that brings the images into alignment. We describe our method and present experimental results demonstrating its effectiveness, particularly for low contrast, speckled images. Furthermore, we compare our method to standard gradient-based techniques, which we show are more susceptible to misregistration.
机译:在本文中,我们提出了一种新的超声图像配准方法。对于要记录的每个图像,我们的方法首先应用超声特定的信息理论特征检测器,该检测器基于散斑的统计建模,并提供能可靠地描绘图像中重要边缘的特征图像。然后,使用微分方程对这些特征图像进行配准,该方程的解提供了局部最优的变换,使这些图像对齐。我们描述了我们的方法,并展示了证明其有效性的实验结果,特别是对于低对比度斑点图像。此外,我们将我们的方法与基于标准梯度的技术进行了比较,结果表明,该技术更易发生套准错误。

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