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Boundary Delineation in Prostate Imaging Using Active Contour Segmentation Method with Interactively Defined Object Regions

机译:使用交互式轮廓对象区域的主动轮廓分割方法在前列腺成像中进行边界描绘

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摘要

Active contour methods are often methods of choice for demanding segmentation problems, yet segmentation of medical images with complex intensity patterns still remains a challenge for these methods. This paper proposes a method to incorporate interactively specified foreground/background regions into the active model framework while keeping the user interaction to the minimum. To achieve that, the proposed functional to be minimized includes a term to encourage active contour to separate the points close to the specified foreground region from the points close to the specified background region in terms of geodesic distance. The experiments on multi-modal prostate images demonstrate that the proposed method not only can achieve robust and accurate results, but also provides an efficient way to interactively improve the results.
机译:主动轮廓法通常是要求解决分割问题的首选方法,但是具有复杂强度模式的医学图像分割仍然是这些方法的挑战。本文提出了一种将交互式指定的前景/背景区域合并到活动模型框架中的方法,同时将用户交互保持在最低水平。为了实现这一点,要最小化的拟议功能包括一个术语,用于鼓励活动轮廓以测地距离将靠近指定前景区域的点与靠近指定背景区域的点分开。在多模式前列腺图像上的实验表明,该方法不仅可以实现鲁棒且准确的结果,而且还提供了一种有效地交互式改善结果的方法。

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