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首页> 外文期刊>Journal of mathematical imaging and vision >A linear 3D elastic segmentation model for vector fields. Application to the heart segmentation in MRI
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A linear 3D elastic segmentation model for vector fields. Application to the heart segmentation in MRI

机译:向量场的线性3D弹性分割模型。在MRI心脏分割中的应用

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In this paper a 3D elastic model for the segmentation of vector fields has been proposed and analyzed. Elastic models for segmentation usually involve minimization of internal and external energy. A problem we observed with standard internal and external energy is that the local or the global reached minima do not force the external energy to be zero. To eliminate this difficulty, we propose introducing a constraint. The constraint problem is proved to be mathematically well posed, and a simple algorithm which avoids computing the lagrange multiplier is provided. This algorithm is proved to be convergent. Then the algorithm is applied to the segmentation of cardiac magnetic resonance imaging, and its efficiency is shown with two experiments.
机译:本文提出并分析了用于矢量场分割的3D弹性模型。用于细分的弹性模型通常涉及内部和外部能量的最小化。我们用标准的内部和外部能量观察到的一个问题是,局部或全局达到的最小值不会强制外部能量为零。为了消除此困难,我们建议引入一个约束。证明了该约束问题在数学上是恰当的,并且提供了一种避免计算拉格朗日乘数的简单算法。该算法被证明是收敛的。然后将该算法应用于心脏磁共振成像的分割,并通过两次实验证明了其有效性。

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