DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via A Structure-Specific Generative Method. (arXiv:2206.07163v1 [cs.CV])

Web: http://arxiv.org/abs/2206.07163

Joint 2D cardiac segmentation and 3D volume reconstruction are fundamental to
building statistical cardiac anatomy models and understanding functional
mechanisms from motion patterns. However, due to the low through-plane
resolution of cine MR and high inter-subject variance, accurately segmenting
cardiac images and reconstructing the 3D volume are challenging. In this study,
we propose an end-to-end latent-space-based framework, DeepRecon, that
generates multiple clinically essential outcomes, including accurate image
segmentation, synthetic high-resolution 3D image, and 3D reconstructed volume.
Our method identifies the …

3d arxiv cv segmentation