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A new Image Registration technique with free boundary constraints: application to mammography

机译:一种具有自由边界约束的新图像配准技术:在乳腺摄影中的应用

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In this paper, a new image-matching mathematical model is presented with its application to mammogram registration. In a variational framework, an energy minimization problem is formulated and a multigrid resolution algorithm is designed. The model focuses on the matching of regions of interest. It also combines several constraints which are both intensity- and segmentation-based. A new feature of our model is combining region matching and segmentation by formulation of the energy minimization problem with free boundary conditions. Moreover, the energy has a new registration constraint. The performances of the new model and an equivalent model with fixed boundary conditions are compared on simulated mammogram pairs. It is shown that the model with free boundary is more robust to initialization inaccuracies than the one with fixed boundary conditions. Both models are applied to several real bilateral mammogram pairs. The model ability to compensate significantly for some normal differences between mammograms is illustrated. Results suggest that the new model could enable some improvements of mammogram comparisons and tumor detection system performances. (C) 2003 Elsevier Science (USA). All rights reserved. [References: 67]
机译:本文提出了一种新的图像匹配数学模型,并将其应用于乳腺X线照片配准。在变分框架中,提出了能量最小化问题,并设计了多网格分辨率算法。该模型着重于感兴趣区域的匹配。它还结合了基于强度和分段的几个约束。我们的模型的一个新功能是通过制定具有自由边界条件的能量最小化问题,将区域匹配和分割相结合。而且,能量具有新的配准约束。在模拟的乳房X线照片对上比较了新模型和具有固定边界条件的等效模型的性能。结果表明,具有自由边界的模型比具有固定边界条件的模型对初始化错误的鲁棒性更高。两种模型均适用于几个实际的双边乳房X线照片对。说明了显着补偿乳房X线照片之间某些正常差异的模型能力。结果表明,新模型可以使乳房X线照片比较和肿瘤检测系统的性能得到一些改善。 (C)2003 Elsevier Science(美国)。版权所有。 [参考:67]

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