2D/3D image registration on the GPU

被引：27

作者：

Kubias A. ^{[1
]}

Deinzer F. ^{[2
]}

Feldmann T. ^{[1
]}

Paulus D. ^{[1
]}

Schreiber B. ^{[2
]}

Brunner Th. ^{[2
]}

机构：

[1] University of Koblenz-Landau, Arbeitsgruppe Aktives Sehen

[2] Siemens Medical Solutions

来源：

Pattern Recognition and Image Analysis | 2008年 / 18卷 / 03期

关键词：

18;

D O I：

10.1134/S1054661808030048

中图分类号：

学科分类号：

摘要：

We present a method that performs a rigid 2D/3D image registration efficiently on the Graphical Processing Unit (GPU). As one main contribution of this paper, we propose an efficient method for generating realistic DRRs that are visually similar to x-ray images. Therefore, we model some of the electronic post-processes of current x-ray C-arm-systems. As another main contribution, the GPU is used to compute eight intensity-based similarity measures between the DRR and the x-ray image in parallel. A combination of these eight similarity measures is used as a new similarity measure for the optimization. We evaluated the performance and the precision of our 2D/3D image registration algorithm using two phantom models. Compared to a CPU + GPU algorithm, which calculates the similarity measures on the CPU, our GPU algorithm is between three and six times faster. In contrast to single similarity measures, our new similarity measure achieved precise and robust registration results for both phantom models. © 2008 Pleiades Publishing, Ltd.

引用

页码：381 / 389

页数：8

共 18 条

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