Multi-view Cardiac Image Segmentation via Trans-Dimensional Priors

arXiv:2404.16708v1 Announce Type: cross
Abstract: We propose a novel multi-stage trans-dimensional architecture for multi-view cardiac image segmentation. Our method exploits the relationship between long-axis (2D) and short-axis (3D) magnetic resonance (MR) images to perform a sequential 3D-to-2D-to-3D segmentation, segmenting the long-axis and short-axis images. In the first stage, 3D segmentation is performed using the short-axis image, and the prediction is transformed to the long-axis view and used as a segmentation prior in the next stage. In the second step, the …

2d-to-3d abstract architecture arxiv cs.cv eess.iv exploits image images novel relationship segmentation stage type via view