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NON-RIGID MULTIMODAL REGISTRATION USING FINITE ELEMENTS METHOD AND MUTUAL INFORMATION FOR 3D MEDICAL IMAGERY

机译:基于有限元方法和互信息的3D医学影像非刚性多模态配准

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摘要

Based on the isotropic linear elastic material model, one can get a good non-rigid registration result. This modelling permits to get image regularization features. However, the Mattes et al. mutual information [1] is reputed to do a multimodal registration. Besides, its use for the registration of images in the same modality but in low resolutions, as the Positron Emission Tomography (PET), gives some good results. This paper deals with a fully non-rigid automatic registration. We propose a combination of the elastic material model, the finite elements method and the use of the mutual information as a very attractive way to make a non-rigid registration. We have made an implementation based on this approach with 3D medical images.
机译:基于各向同性线性弹性材料模型,可以获得良好的非刚性配准结果。这种建模可以获取图像正则化功能。但是,Mattes等人。相互信息[1]被称为进行多模式注册。此外,与正电子发射断层扫描(PET)一样,它以相同的模态但以较低的分辨率用于图像配准的效果也很好。本文介绍了一种完全非刚性的自动注册。我们建议将弹性材料模型,有限元方法和使用互信息相结合,作为进行非刚性配准的一种非常有吸引力的方法。我们已经基于此方法对3D医学图像进行了实施。

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