Deep MR to CT Synthesis Using Unpaired Data

@inproceedings{Wolterink2017DeepMT,
  title={Deep MR to CT Synthesis Using Unpaired Data},
  author={J. Wolterink and Anna M. Dinkla and M. Savenije and P. Seevinck and C. Berg and I. I{\vs}gum},
  booktitle={SASHIMI@MICCAI},
  year={2017}
}
MR-only radiotherapy treatment planning requires accurate MR-to-CT synthesis. [...] Key Method A GAN consisting of two synthesis convolutional neural networks (CNNs) and two discriminator CNNs was trained with cycle consistency to transform 2D brain MR image slices into 2D brain CT image slices and vice versa. Brain MR and CT images of 24 patients were analyzed. A quantitative evaluation showed that the model was able to synthesize CT images that closely approximate reference CT images, and was able to…Expand
CT-Based MR Synthesis Using Adversarial Cycle-Consistent Networks with Paired Data Learning
  • Cheng-Bin Jin, H. Kim, +6 authors X. Cui
  • Computer Science
  • 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)
  • 2018
Unpaired Mr to CT Synthesis with Explicit Structural Constrained Adversarial Learning
UC-GAN for MR to CT Image Synthesis
Synthesize CT from paired MRI of the same patient with patch-based generative adversarial network
Synthetic CT Generation from MRI Using Improved DualGAN
Unsupervised MR-to-CT Synthesis Using Structure-Constrained CycleGAN
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