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首页> 外文会议>Second International Workshop on Biomedical Image Registration WBIR 2003; Jun 23-24, 2003; Philadelphia, PA, USA >An Alternating-Constraints Algorithm for Volume-Preserving Non-rigid Registration of Contrast-Enhanced MR Breast Images
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An Alternating-Constraints Algorithm for Volume-Preserving Non-rigid Registration of Contrast-Enhanced MR Breast Images

机译：交替增强的MR乳房图像保留体积的非刚性配准算法

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摘要

We propose and evaluate in this work a novel optimization strategy for intensity-based non-rigid image registration of contrast-enhanced images with a volume-preservation constraint. Since patient motion correction and volume preservation are to some extent mutually exclusive goals, one is usually faced with a trade-off between volume preservation of contrast-enhancing structures and artifact reduction. We address this problem by repeatedly applying registration passes with alternating incompressibility constraint weights. The novel optimization method alternates between under-constrained registration (allowing the elimination of motion artifacts in the subtraction images) and over-constrained registration (enforcing volume preservation of contrast-enhancing structures). We apply our method to pre- and post-contrast MR breast images from 17 patients. We evaluate our method and compare it to unconstrained and fixed constraint non-rigid registration by blinded visual assessment of maximum intensity projections of subtraction images. The alternating-constraints algorithm was judged to reduce artifacts better then the fixed-constraint algorithm in 11 out of 17 patients and equally well in the remaining 6. The results of this study show the capability of our method to achieve volume preservation and at the same time reduce artifacts very similar to what can be achieved by unconstrained non-rigid registration.
机译：我们提出并在这项工作中评估一种新的优化策略，用于基于强度的非刚性图像配准，该对比度增强的图像具有体积保留约束。由于患者运动校正和体积保留在某种程度上是互斥的目标，因此通常要在增强对比结构的体积保留与减少伪影之间进行权衡。我们通过重复应用具有交替不可压缩约束权重的配准过程来解决此问题。新颖的优化方法在约束不足的配准（允许消除减影图像中的运动伪影）和约束过度的配准（加强对比度增强结构的体积保留）之间交替。我们将我们的方法应用于来自17位患者的MR乳房造影前后。我们评估了我们的方法，并通过对减法图像的最大强度投影进行盲目视觉评估，将其与无约束和固定约束的非刚性配准进行了比较。在17名患者中，有11名患者的交替约束算法被认为比固定约束算法更好地减少了伪影，其余6名患者则表现良好。这项研究的结果表明，我们的方法在保持体积不变的情况下具有能力时间减少的伪像非常类似于无约束的非刚性配准所能实现的。

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