首页> 外国专利> METHOD AND AN APPARATUS FOR PARALLEL NMI-BASED 3D NON-RIGID IMAGE REGISTRATION ON HYBRID CORES SIMULTANEOUSLY USING CPU AND GPU FOR MINIMIZING THE DUPLICATE OPERATION

METHOD AND AN APPARATUS FOR PARALLEL NMI-BASED 3D NON-RIGID IMAGE REGISTRATION ON HYBRID CORES SIMULTANEOUSLY USING CPU AND GPU FOR MINIMIZING THE DUPLICATE OPERATION

机译:同时使用CPU和GPU最小化重复操作的混合并行基于NMI的3D非刚性图像配准的方法和装置

摘要

PURPOSE: A method and an apparatus for parallel NMI-based 3D non-rigid image registration on hybrid cores simultaneously using CPU and GPU are provided to properly distribute computations necessary for non-rigid image registration to the CPU and the GPU and to minimize data transmission and reception between the CPU and the GPU, thereby rapidly performing the non-rigid matching of a three-dimensional image.;CONSTITUTION: A graphic processing unit (GPU) (310) locally transforms a source image by B-spline free form deformation (FFD) based on a transformation function. A central processing unit (CPU) (330) produces the normalized mutual information (NMI) of the transformed source image and a target image by using a two-dimensional joining histogram calculated based on a brightness value of the source image and the target image. The CPU updates the transformation function by using a cost function based on the NMI of the source image and the target image. A matching image generator of the CPU reflects variables produced through the optimization process to the source image to generate an image matched to the target image.;COPYRIGHT KIPO 2013
机译:目的:提供一种用于同时使用CPU和GPU在混合核上基于NMI的并行3D非刚性图像配准的方法和装置,以将非刚性图像配准所需的计算适当地分配给CPU和GPU,并最大程度地减少数据传输构造:图形处理单元(GPU)(310)通过B样条自由形式变形局部地变换源图像(例如,图形处理单元(GPU)310),以进行三维图像的非刚性匹配。 FFD)。中央处理单元(CPU)(330)通过使用基于源图像和目标图像的亮度值计算出的二维结合直方图来生成转换后的源图像和目标图像的归一化互信息(NMI)。 CPU通过使用基于源图像和目标图像的NMI的成本函数来更新转换函数。 CPU的匹配图像生成器将通过优化过程产生的变量反映到源图像,以生成与目标图像匹配的图像。; COPYRIGHT KIPO 2013

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