mlsanityData to 14 Oct 2026

Cycle-guided Denoising Diffusion Probability Model for 3D Cross-modality MRI Synthesis

arXiv 2305.00042 ↗First posted 28 Apr 2023eess.IV cs.CVcited by 18

On the map: Diffusion models → Medical imaging and segmentation

Abstract (arXiv)

This study aims to develop a novel Cycle-guided Denoising Diffusion Probability Model (CG-DDPM) for cross-modality MRI synthesis. The CG-DDPM deploys two DDPMs that condition each other to generate synthetic images from two different MRI pulse sequences. The two DDPMs exchange random latent noise in the reverse processes, which helps to regularize both DDPMs and generate matching images in two modalities. This improves image-to-image translation ac-curacy. We evaluated the CG-DDPM quantitatively using mean absolute error (MAE), multi-scale structural similarity index measure (MSSIM), and peak sig-nal-to-noise ratio (PSNR), as well as the network synthesis consistency, on the BraTS2020 dataset. Our proposed method showed high accuracy and reliable consistency for MRI synthesis. In addition, we compared the CG-DDPM with several other state-of-the-art networks and demonstrated statistically significant improvements in the image quality of synthetic MRIs. The proposed method enhances the capability of current multimodal MRI synthesis approaches, which could contribute to more accurate diagnosis and better treatment planning for patients by synthesizing additional MRI modalities.

Key facts. Cited by 18 papers in the map (data through 14 Oct 2026). Placed in Medical imaging and segmentation, one of 14 directions in Diffusion models. Builds on 13 of its 50 references that are in the map. First posted on arXiv 28 Apr 2023.

Builds on

13 of 50 references.

References · 13

  1. 2020Denoising Diffusion Probabilistic Modelscited by 21,076
  2. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,139
  3. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,177
  4. 2020Denoising Diffusion Implicit Modelscited by 9,781
  5. 2020Score-Based Generative Modeling through Stochastic Differential Equationscited by 9,122
  6. 2021Diffusion Models Beat GANs on Image Synthesiscited by 8,255
  7. 2022Generative Adversarial Networkscited by 5,627
  8. 2021Improved Denoising Diffusion Probabilistic Modelscited by 3,761
  9. 2018Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challengecited by 511
  10. 2022Conversion Between CT and MRI Images Using Diffusion and Score-Matching Modelscited by 69
  11. 2022Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidancecited by 67
  12. 2023Advancing Medical Imaging with Language Models: A Journey from N-grams to ChatGPTcited by 28
1 more
  1. 2018MRI Cross-Modality NeuroImage-to-NeuroImage Translationcited by 8

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 2; 2024: 8; 2025: 5; 2026: 3.

18 papers.

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  1. 2023Synthetic CT Generation from MRI using 3D Transformer-based Denoising Diffusion Modelcited by 29
  2. 2024cWDM: Conditional Wavelet Diffusion Models for Cross-Modality 3D Medical Image Synthesiscited by 19
  3. 2024Deep Generative Models for 3D Medical Image Synthesiscited by 14
  4. 2025MRI super-resolution reconstruction using efficient diffusion probabilistic model with residual shiftingcited by 10
  5. 2023A Survey of Emerging Applications of Diffusion Probabilistic Models in MRIcited by 9
  6. 2024Spectrum AUC Difference (SAUCD): Human-aligned 3D Shape Evaluationcited by 9
  7. 2025Regression is all you need for medical image translationcited by 8
  8. 2024McCaD: Multi-Contrast MRI Conditioned, Adaptive Adversarial Diffusion Model for High-Fidelity MRI Synthesiscited by 4
  9. 2024Cyclic 2.5D Perceptual Loss for Cross-Modal 3D Medical Image Synthesis: T1w MRI to Tau PETcited by 2
  10. 2024LPUWF-LDM: Enhanced Latent Diffusion Model for Precise Late-phase UWF-FA Generation on Limited Datasetcited by 2
  11. 2026Multiscale Structure-Guided Latent Diffusion for Multimodal MRI Translationcited by 2
  12. 2024Pseudo-MRI-Guided PET Image Reconstruction Method Based on a Diffusion Probabilistic Modelcited by 1
6 more
  1. 2025Res-MoCoDiff: Residual-guided diffusion models for motion artifact correction in brain MRIcited by 1
  2. 2024Mitigating analytical variability in fMRI results with style transfercited by 0
  3. 2025Generalizable 7T T1-map Synthesis from 1.5T and 3T T1 MRI with an Efficient Transformer Modelcited by 0
  4. 2025An Efficient 3D Latent Diffusion Model for T1-contrast Enhanced MRI Generationcited by 0
  5. 2026Any-to-All MRI Synthesis: A Unified Foundation Model for Nasopharyngeal Carcinoma and Its Downstream Applicationscited by 0
  6. 2026MRI super-resolution in ten sampling steps using a diffusion bridge modelcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2026VS-DDPM: Efficient Low-Cost Diffusion Model for Medical Modality Translation
  2. 2023DDMM-Synth: A Denoising Diffusion Model for Cross-modal Medical Image Synthesis with Sparse-view Measurement Embedding
  3. 2025FgC2F-UDiff: Frequency-guided and Coarse-to-fine Unified Diffusion Model for Multi-modality Missing MRI Synthesis
  4. 2024Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image Generation
  5. 2025Diffusion-Driven Generation of Minimally Preprocessed Brain MRI
  6. 2023Adaptive Latent Diffusion Model for 3D Medical Image to Image Translation: Multi-modal Magnetic Resonance Imaging Study
  7. 2022Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation
  8. 2022Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction