mlsanityData to 7 Oct 2026

DX2CT: Diffusion Model for 3D CT Reconstruction from Bi or Mono-planar 2D X-ray(s)

arXiv 2409.08850 ↗First posted 13 Sep 2024eess.IV cs.CVcited by 8

On the map: Diffusion models → Medical imaging and segmentation

Abstract (arXiv)

Computational tomography (CT) provides high-resolution medical imaging, but it can expose patients to high radiation. X-ray scanners have low radiation exposure, but their resolutions are low. This paper proposes a new conditional diffusion model, DX2CT, that reconstructs three-dimensional (3D) CT volumes from bi or mono-planar X-ray image(s). Proposed DX2CT consists of two key components: 1) modulating feature maps extracted from two-dimensional (2D) X-ray(s) with 3D positions of CT volume using a new transformer and 2) effectively using the modulated 3D position-aware feature maps as conditions of DX2CT. In particular, the proposed transformer can provide conditions with rich information of a target CT slice to the conditional diffusion model, enabling high-quality CT reconstruction. Our experiments with the bi or mono-planar X-ray(s) benchmark datasets show that proposed DX2CT outperforms several state-of-the-art methods. Our codes and model will be available at: https://www.github.com/intyeger/DX2CT.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Placed in Medical imaging and segmentation, one of 14 directions in Diffusion models. Builds on 21 of its 35 references that are in the map. First posted on arXiv 13 Sep 2024.

Builds on

21 of 35 references.

Closest ancestors · 1

Same direction, newest first

  1. 2024DIFR3CT: Latent Diffusion for Probabilistic 3D CT Reconstruction from Few Planar X-Rays27 Aug

Other references · 20

  1. 2017Attention Is All You Needcited by 59,932
  2. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  3. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 29,915
  4. 2020Denoising Diffusion Probabilistic Modelscited by 20,851
  5. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
  6. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  7. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,029
  8. 2020Denoising Diffusion Implicit Modelscited by 9,655
  9. 2020End-to-End Object Detection with Transformerscited by 7,384
  10. 2022Scalable Diffusion Models with Transformerscited by 5,931
  11. 2021Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutionscited by 1,960
  12. 2021Image Super-Resolution via Iterative Refinementcited by 1,506
8 more
  1. 20163D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotationcited by 1,471
  2. 2019Semantic Image Synthesis with Spatially-Adaptive Normalizationcited by 1,295
  3. 2022Denoising Diffusion Restoration Modelscited by 951
  4. 2019PadChest: A large chest x-ray image dataset with multi-label annotated reportscited by 308
  5. 2022Semantic Image Synthesis via Diffusion Modelscited by 131
  6. 2019X2CT-GAN: Reconstructing CT from Biplanar X-Rays with Generative Adversarial Networkscited by 85
  7. 2023Perspective Projection-Based 3D CT Reconstruction from Biplanar X-rayscited by 18
  8. 2024XctDiff: Reconstruction of CT Images with Consistent Anatomical Structures from a Single Radiographic Projection Imagecited by 3

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 3; 2026: 5.

8 papers.

  1. 2025SV-DRR: High-Fidelity Novel View X-Ray Synthesis Using Diffusion Modelcited by 1
  2. 2025MoTDiff: High-resolution Motion Trajectory estimation from a single blurred image using Diffusion modelscited by 0
  3. 2025XDen-1K: A Density Field Dataset of Real-World Objectscited by 0
  4. 2026DuFal: Dual-Frequency-Aware Learning for High-Fidelity Extremely Sparse-view CBCT Reconstructioncited by 0
  5. 2026Conditional Diffusion for 3D CT Volume Reconstruction from 2D X-rayscited by 0
  6. 2026From Sparse X-rays to 3D CT: Training-Free Reconstruction with Diffusion Priorscited by 0
  7. 2026Learning Where and What to Lift for Bi-planar X-ray-to-CT Reconstructioncited by 0
  8. 2026VS-Splat: Voxel-Selective feed-forward Gaussian Splatting for end-to-end 3D object reconstruction from sparse-viewscited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2026DM4CT: Benchmarking Diffusion Models for Computed Tomography Reconstruction
  2. 2025DVG-Diffusion: Dual-View Guided Diffusion Model for CT Reconstruction from X-Rays
  3. 20262D Versus 3D Diffusion for In Silico Training of Interventional X-ray AI Models
  4. 2026Conditional Diffusion Posterior Alignment for Sparse-View CT Reconstruction
  5. 2025Latent Space Consistency for Sparse-View CT Reconstruction
  6. 2024DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction
  7. 2024X-ray2CTPA: Leveraging Diffusion Models to Enhance Pulmonary Embolism Classification
  8. 2026HICT: High-precision 3D CBCT reconstruction from a single X-ray