A Non-rigid Registration Using Elastic Model, Finite Element Method and Mutual Information in Parallel Environment

F. Andriamanampisoa, J. Jessel, S. Rakotondraompiana
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Abstract

We have already led a survey on a new approach in nonrigid registration using elastic model, finite element method and mutual information and we have had good results. This approach is a multimodal and a fully automatic registration. Besides, one can use it for a registration with images in low resolutions, such as the positron emission tomography (PET) and single photon emission computed tomography (SPECT). However one can note that registration requires a too much important calculation time and high occupancy spaces especially with 3D images. Thus, the parallelization is required. So, the aim is to parallelize this approach for non-rigid registration. Therefore, this paper presents the theory of the approach and deals the transformation of the registration algorithm in a parallel environment. We have worked with single program multiple data model on distributed memory (SPMD-DM) architecture.
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基于弹性模型、有限元法和互信息的并行环境下非刚性配准
我们已经对利用弹性模型、有限元法和互信息进行非刚性配准的新方法进行了探索,并取得了良好的效果。这种方法是一种多模式的全自动配准方法。此外,它还可以用于低分辨率图像的配准,如正电子发射断层扫描(PET)和单光子发射计算机断层扫描(SPECT)。然而,可以注意到,配准需要太多重要的计算时间和高占用空间,特别是对于3D图像。因此,需要并行化。因此,目标是并行化这种方法用于非刚性配准。因此,本文给出了该方法的原理,并讨论了在并行环境下配准算法的变换。我们研究了分布式内存(SPMD-DM)体系结构上的单程序多数据模型。
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