Cone-Beam CT

CT: Computed Tomography

Overview

Cone-beam computed tomography studies how to form useful 3D images from X-ray projections, often with limited views, noise, motion, metal artifacts, or an incomplete field of view. Reconstruction methods range from filtered back-projection and iterative, physics-based optimization to learned CNNs, diffusion models, implicit neural representations, and Gaussian splatting that combine image priors with projection consistency. Related work improves image quality and supports tasks such as segmentation, CBCT-to-CT synthesis, motion-resolved imaging, registration, and report generation. A central challenge is balancing artifact reduction and speed against faithful preservation of patient anatomy, with clinical task-based evaluation needed alongside image-similarity metrics.

Latest papers

CardsList

47 papers7 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

  1. AD-GS: Anatomical Density-guided 3D Gaussian Splatting for Sparse-View Dental CBCT Reconstruction

    Oct 10, 2026Zonglin Li, Kexian Xie, Feiran Li +5Sparse-View CT Reconstruction3D Gaussian Splatting

  2. RePrior: Measurement-Reconciled Prior Correction for Sparse-View CBCT Reconstruction

    Oct 8, 2026Mengrui Yin, Tianxingjian Ding, Wufan Zhao +2Image ReconstructionSparse-View CT Reconstruction

  3. OX-NeRF: 3D X-ray Tomography Reconstruction from Sparse Views Using Implicit Neural Representation

    Oct 8, 2026Thomas Welsch, Min-Hsin Tu, David J. Chapman +1Sparse-View CT ReconstructionNeural Radiance Fields

  4. Gradient-Based Trajectory Optimisation over Continuous Poses for Sparse-View Cone-Beam CT

    Oct 7, 2026Linda-Sophie Schneider, Simon Wittl, Gabriel Herl +1Trajectory OptimizationCone-Beam CT

  5. Anatomy-preserving unpaired cone-beam CT refinement for image-guided radiotherapy using pseudo-label guided diffusion

    Oct 5, 2026Qi Lai, Yutong HeCone-Beam CTDiffusion Guidance

  6. Field-of-View Extension in Dental Cone-Beam CT via Implicit Neural Representations and Diffusion Model-Based Refinement

    Sep 23, 2026Susanne Schaub, Florentin Bieder, Matheus L. Oliveira +5Cone-Beam CTImage Reconstruction

  7. Clinical Reasoning Under a Partially Observed Objective in Cone Beam CT Report Generation

    Sep 2, 2026Ajo Babu George, Govind Arun, Sidharth N Krishna +1CT Report GenerationRadiology Report Generation

  8. Unsupervised Adaptation of 3D CT Foundation Models for 3D CBCT Segmentation

    Aug 27, 2026Gauthier Miralles, Loic Le Folgoc, Vincent Jugnon +1Cross-Modality Medical Image Segmentation3D Medical Image Segmentation

  9. Entity-Constrained CBCT Retrieval for Low-Resource Dental Record Completion

    Aug 22, 2026Nhi Ngoc-Yen Nguyen, Thai Nguyen, Kiet Huynh Cao Tuan +1Evidence RetrievalInformation Retrieval

  10. Toward CT-Equivalent Image Quality in Low-Dose Radiotherapy Planning: Conditional Diffusion-Based CBCT-to-CT Synthesis and the Impact of CBCT Input Representation

    Aug 9, 2026Alzahra Altalib, Chunhui Li, Christopher Hamill Taylor +2Cone-Beam CTMedical Image Synthesis

  11. APCReg: Anatomical-Prior-Guided Coarse-to-Fine CBCT--IOS Registration via Multi-View Projection and Reliability-Controlled Residual Correction

    Aug 7, 2026Xincan Zheng, Yaqi Wang, Zhi Li +4Cone-Beam CTMedical Image Registration

  12. Dual-domain U-Nets with embedded back projection operators for motion-resolved 4D CBCT reconstruction

    Aug 4, 2026Ivo Herzig, Pascal Paysan, Daniel Barco +8Cone-Beam CT4D Reconstruction

  13. CBCT-IQ: A Publicly Available Annotated Cone-Beam CT Dataset for Image Quality Assessment and Benchmarking

    Jul 31, 2026Sepideh Hatamikia, Anna Breger, Clemens Karner +14Cone-Beam CTImage Quality Assessment

  14. Unsupervised Metal Artifact Reduction in Dental CBCT using Fine-tuned Cycle-Consistent Adversarial Networks

    Jul 23, 2026G. L. T. Chamika, S. N. A. Dhanapala, P. H. S. V. Nimalaweera +2Image EnhancementCone-Beam CT

  15. KK-NeAS: Scalable Multi-Material CT Reconstruction Using Neural SDFs

    Jul 15, 2026Daksh K. Shah, Emmanouil Nikolakakis, Razvan MarinescuCone-Beam CTImplicit Neural Representations

  16. GB-SVFBP: Gaussian-Based Shift-Variant FBP neural network

    Jul 13, 2026Chengze Ye, Linda-Sophie Schneider, Yipeng Sun +1Cone-Beam CTImage Reconstruction

  17. Robustness and Stability Analysis of Differentiable Shift-Variant FBP for Cone-Beam CT under Challenging Acquisition Settings

    Jul 10, 2026Chengze Ye, Linda-Sophie Schneider, Yipeng Sun +5Cone-Beam CTImage Reconstruction

  18. From Data Completeness to Data Sufficiency: A Task-Driven Imaging Framework for Intraoperative CBCT under Quality-Time-Dose Trade-offs

    Jul 8, 2026Yi Jia, Rongjun Ge, Yang Chen +2Medical ImagingCone-Beam CT

  19. X-Splat: Gaussian Splatting for 3D CBCT Generation from Single Panoramic Radiograph

    Jul 2, 2026Tomasz Szczepański, Szymon Płotka, Michal K. Grzeszczyk +23D Gaussian SplattingCone-Beam CT

  20. Self-Supervised Vision Transformers for CBCT-Based Detection of Temporomandibular Joint Osteoarthritis

    Jun 6, 2026Shradhdha Trivedi, Vrundan Sojitra, Mariela PadillaMedical Imaging Foundation ModelsCone-Beam CT

  21. Texture-preserving implicit neural representation for Cone beam CT truncated reconstruction

    Jun 4, 2026Genyuan Zhang, Junyao Wang, Haoran Lan +3Cone-Beam CTImplicit Neural Representations

  22. Gradient Step Plug-and-Play Model for Dental Cone-Beam CT Reconstruction

    May 27, 2026Idris Tatachak, Luis Kabongo, Nicolas Papadakis +2Cone-Beam CTImage Reconstruction

  23. K-U-KAN: Koopman-Enhanced U-KAN for 3D Dental Reconstruction from a Single Panoramic X-ray Radiograph

    May 24, 2026Bikram Keshari Parida, Abhijit Sen, Wonsang YouCone-Beam CT3D Medical Imaging

  24. Soft Tuy-Completeness for Robust Projection Selection in Cone-Beam CT

    May 20, 2026Linda-Sophie Schneider, Andreas MaierCone-Beam CT

  25. HyDAR-Pano3D: A Hybrid Disentangled Anatomical Recovery Framework for Panoramic-to-3D Reconstruction

    May 20, 2026Yaoyao Yue, Jérôme Schmid, Xiaoshuang Li +2Medical ImagingCone-Beam CT