mlsanityData to 14 Oct 2026

Rician Denoising Diffusion Probabilistic Models For Sodium Breast MRI Enhancement

arXiv 2410.11511 ↗First posted 15 Oct 2024eess.IV cs.CVcited by 0

On the map: Diffusion models → Medical imaging and segmentation

Abstract (arXiv)

Sodium MRI is an imaging technique used to visualize and quantify sodium concentrations in vivo, playing a role in many biological processes and potentially aiding in breast cancer characterization. Sodium MRI, however, suffers from inherently low signal-to-noise ratios (SNR) and spatial resolution, compared with conventional proton MRI. A deep-learning method, the Denoising Diffusion Probabilistic Models (DDPM), has demonstrated success across a wide range of denoising tasks, yet struggles with sodium MRI's unique noise profile, as DDPM primarily targets Gaussian noise. DDPM can distort features when applied to sodium MRI. This paper advances the DDPM by introducing the Rician Denoising Diffusion Probabilistic Models (RDDPM) for sodium MRI denoising. RDDPM converts Rician noise to Gaussian noise at each timestep during the denoising process. The model's performance is evaluated using three non-reference image quality assessment metrics, where RDDPM consistently outperforms DDPM and other CNN-based denoising methods.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Placed in Medical imaging and segmentation, one of 14 directions in Diffusion models. Builds on 9 of its 18 references that are in the map. First posted on arXiv 15 Oct 2024.

Builds on

9 of 18 references.

Closest ancestors · 2

Same direction, newest first

  1. 2023DDM2: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models6 Feb
  2. 2022PET image denoising based on denoising diffusion probabilistic models13 Sep

Other references · 7

  1. 2020Denoising Diffusion Probabilistic Modelscited by 21,076
  2. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,713
  3. 2016Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoisingcited by 1,358
  4. 2021MUSIQ: Multi-scale Image Quality Transformercited by 1,081
  5. 2017Road Extraction by Deep Residual U-Netcited by 333
  6. 2019From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Qualitycited by 223
  7. 2022MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusioncited by 67

Built on by

Not cited yet.

Similar, not cited

Close in wording, no citation either way

  1. 2026VS-DDPM: Efficient Low-Cost Diffusion Model for Medical Modality Translation
  2. 2024Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image Generation
  3. 2024Robust multi-coil MRI reconstruction via self-supervised denoising
  4. 2022Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction
  5. 2024MCDDPM: Multichannel Conditional Denoising Diffusion Model for Unsupervised Anomaly Detection in Brain MRI
  6. 2023Synthetic CT Generation from MRI using 3D Transformer-based Denoising Diffusion Model
  7. 2025Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review
  8. 2023A Survey of Emerging Applications of Diffusion Probabilistic Models in MRI