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

June 16, 2022, 1:10 a.m. | Qi Chang, Zhennan Yan, Mu Zhou, Di Liu, Khalid Sawalha, Meng Ye, Qilong Zhangli, Mikael Kanski, Subhi Al Aref, Leon Axel, Dimitris Metaxas

cs.LG updates on arXiv.org arxiv.org

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

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