Deep MR to CT Synthesis using Unpaired Data Deep MR to CT Synthesis using Unpaired Data
Paper summary https://i.imgur.com/vxBhb7B.png Problem ------------ Convert MR scans to CT scans. General Approach ---------- CycleGAN Dataseet ----------- Unpaired brain CT:MR images. The dataset contains both CT and MR scans of same patient taken on the same day. The volumes are aligned using mutual information and contain some local minor misalignments. Method -------- Train the following models: 1. Syn_ct: CNN: MR -> CT 2. Syn_mr: CNN: CT -> MR 3. Dis_ct: classify real and synthetic CT images (result of Syn_ct) 4. Dis_mr: classify real and synthetic MR images. Syn_mr(Syn_ct(MR Image))) or Syn_mr(CT image) https://i.imgur.com/GqVaskb.png
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Deep MR to CT Synthesis using Unpaired Data
Jelmer M. Wolterink and Anna M. Dinkla and Mark H. F. Savenije and Peter R. Seevinck and Cornelis A. T. van den Berg and Ivana Isgum
arXiv e-Print archive - 2017 via arXiv
Keywords: cs.CV

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