Diffeomorphic Surface Registration with Atrophy Constraints.

Southern Journal of Applied Forestry Pub Date : 2016-01-01 Epub Date: 2016-07-13 DOI:10.1137/15m104431x
Sylvain Arguillère, Michael I Miller, Laurent Younes
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Abstract

Diffeomorphic registration using optimal control on the diffeomorphism group and on shape spaces has become widely used since the development of the large deformation diffeomorphic metric mapping (LDDMM) algorithm. More recently, a series of algorithms involving sub-Riemannian constraints have been introduced in which the velocity fields that control the shapes in the LDDMM framework are constrained in accordance with a specific deformation model. Here, we extend this setting by considering, for the first time, inequality constraints in order to estimate surface deformations that only allow for atrophy, introducing for this purpose an algorithm that uses the augmented Lagrangian method. We prove the existence of solutions of the associated optimal control problem and the consistency of our approximation scheme. These developments are illustrated by numerical experiments on simulated and real data.

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带有萎缩约束的差分曲面注册
自大变形差分矩阵映射(LDDMM)算法问世以来,利用对差分群和形状空间的优化控制进行的差分矩阵配准已得到广泛应用。最近,一系列涉及亚黎曼约束的算法被引入其中,在这些算法中,LDDMM 框架中控制形状的速度场根据特定的变形模型受到约束。在这里,我们扩展了这一设定,首次考虑了不等式约束,以估计只允许萎缩的表面变形,并为此引入了一种使用增强拉格朗日法的算法。我们证明了相关最优控制问题解的存在性和近似方案的一致性。我们通过模拟和真实数据的数值实验来说明这些进展。
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