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Correspondence probability map driven visualization

机译:对应概率图驱动的可视化

摘要

A method generates and uses a correspondence probability map for visualization of two image datasets. The method includes obtaining two image datasets and obtaining an image registration algorithm that includes a correspondence model. The method further includes registering the two image datasets to generate a displacement vector field and generating a correspondence probability map, using the correspondence model, based on the two image datasets. The method further includes using the correspondence probability map to visualize the two image datasets. A computing system (120) includes a memory device (124) configured to store instructions, including a visualization module (130), and a processor (122) that executes the instructions, which causes the processor to generate and employ a correspondence probability map for visualization of two image datasets.
机译:一种方法生成并使用对应概率图以可视化两个图像数据集。该方法包括获得两个图像数据集以及获得包括对应模型的图像配准算法。该方法还包括注册两个图像数据集以生成位移矢量场,并基于两个图像数据集使用对应模型来生成对应概率图。该方法还包括使用对应概率图来可视化两个图像数据集。计算系统(120)包括配置为存储包括可视化模块(130)的指令的存储设备(124)和执行指令的处理器(122),处理器使指令生成并采用对应的概率图用于两个图像数据集的可视化。

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