Computerized phantoms have been widely used in nuclear medicine imaging for imaging system optimization and validation. Although the existing computerized phantoms can model anatomical variations through organ and phantom scaling, they do not provide a way to fully reproduce the anatomical variations and details seen in humans. In this work, we present a novel registration‐based method for creating highly anatomically detailed computerized phantoms. We experimentally show substantially improved image similarity of the generated phantom to a patient image.

中文翻译：

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使用卷积神经网络完全无监督的可变形图像配准生成拟人幻像

计算机化模型已广泛用于核医学成像，以优化和验证成像系统。尽管现有的计算机化模型可以通过器官和模型缩放来模拟解剖变异，但它们并没有提供一种方法来完全再现人体中看到的解剖变异和细节。在这项工作中，我们提出了一种新的基于配准的方法来创建高度解剖学上详细的计算机化幻影。我们通过实验证明生成的模型与患者图像的图像相似性得到了显着改善。