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Low-dose CT denoising with convolutional neural network

arXiv 1610.00321 ↗First posted 2 Oct 2016physics.med-ph cs.CVcited by 18

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Abstract (arXiv)

To reduce the potential radiation risk, low-dose CT has attracted much attention. However, simply lowering the radiation dose will lead to significant deterioration of the image quality. In this paper, we propose a noise reduction method for low-dose CT via deep neural network without accessing original projection data. A deep convolutional neural network is trained to transform low-dose CT images towards normal-dose CT images, patch by patch. Visual and quantitative evaluation demonstrates a competing performance of the proposed method.

Key facts. Cited by 18 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Oct 2016.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 6; 2022: 3; 2023: 2; 2024: 2; 2025: 4; 2026: 1.

18 papers.

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  1. 2023Image Denoising: The Deep Learning Revolution and Beyond -- A Survey Paper --cited by 71
  2. 2024All-In-One Medical Image Restoration via Task-Adaptive Routingcited by 30
  3. 2021Deformed2Self: Self-Supervised Denoising for Dynamic Medical Imagingcited by 15
  4. 2023A comparative study between paired and unpaired Image Quality Assessment in Low-Dose CT Denoisingcited by 6
  5. 2026Learning Domain-Aware Task Prompt Representations for Multi-Domain All-in-One Image Restorationcited by 6
  6. 2022Spectral2Spectral: Image-spectral Similarity Assisted Spectral CT Deep Reconstruction without Referencecited by 5
  7. 2024Region Attention Transformer for Medical Image Restorationcited by 5
  8. 2021Total-Body Low-Dose CT Image Denoising using Prior Knowledge Transfer Technique with Contrastive Regularization Mechanismcited by 3
  9. 2022Faster Diffusion Cardiac MRI with Deep Learning-based breath hold reductioncited by 2
  10. 20213D U-NetR: Low Dose Computed Tomography Reconstruction via Deep Learning and 3 Dimensional Convolutionscited by 1
  11. 2022Residual Back Projection With Untrained Neural Networkscited by 1
  12. 2025Filter2Noise: A Framework for Interpretable and Zero-Shot Low-Dose CT Image Denoisingcited by 1
6 more
  1. 2021Deep-Learning Driven Noise Reduction for Reduced Flux Computed Tomographycited by 0
  2. 2021Multi-Cycle-Consistent Adversarial Networks for Edge Denoising of Computed Tomography Imagescited by 0
  3. 2021Window-Level is a Strong Denoising Surrogatecited by 0
  4. 2025Leveraging Multiphase CT for Quality Enhancement of Portal Venous CT: Utility for Pancreas Segmentationcited by 0
  5. 2025Task-based Regularization in Penalized Least-Squares for Binary Signal Detection Tasks in Medical Image Denoisingcited by 0
  6. 2025Resolution-Agnostic Neural Operators for Multi-Rate Sparse-View CTcited by 0