2021
DOI: 10.48550/arxiv.2111.00484
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IGCN: Image-to-graph Convolutional Network for 2D/3D Deformable Registration

Megumi Nakao,
Mitsuhiro Nakamura,
Tetsuya Matsuda

Abstract: Organ shape reconstruction based on a singleprojection image during treatment has wide clinical scope, e.g., in image-guided radiotherapy and surgical guidance. We propose an image-to-graph convolutional network that achieves deformable registration of a 3D organ mesh for a single-viewpoint 2D projection image. This framework enables simultaneous training of two types of transformation: from the 2D projection image to a displacement map, and from the sampled per-vertex feature to a 3D displacement that satisfi… Show more

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