基于紧支撑径向基函数的医学图像弹性配准

M. Fornefett, K. Rohr, H. Stiehl
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引用次数: 78

摘要

引入具有紧凑支持的径向基函数用于医学图像的弹性配准。利用这些基函数,地标对配准结果的影响分别局限于二维的圆和三维的球体。因此,配准可以局部约束,这尤其允许处理由于肿瘤切除等原因导致的医学图像的局部变化。所使用的rbf的一个重要性质是它们是正定的。因此,所得到的方程组的可解性总是得到保证的。我们展示了我们的方法合成以及二维和三维断层成像图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Elastic registration of medical images using radial basis functions with compact support
We introduce radial basis functions with compact support for elastic registration of medical images. With these basis functions the influence of a landmark on the registration result is limited to a circle in 2D and, respectively, to a sphere in 3D. Therefore, the registration can be locally constrained which especially allows to deal with rather local changes in medical images due to, e.g., tumor resection. An important property of the used RBFs is that they are positive definite. Thus, the solvability of the resulting system of equations is always guaranteed. We demonstrate our approach for synthetic as well as for 2D and 3D tomographic images.
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