Computed Tomography

Also known as CT

Ask about this topic

Overview

Computed tomography (CT) research studies how to reconstruct internal structure from X-ray measurements and extract useful clinical or scientific information from scans. Approaches range from physics-based iterative reconstruction and learned unrolling to diffusion and flow-matching priors, CNN and Transformer segmentation, and vision-language systems for image interpretation and reporting. Work spans low-dose, sparse-view, cone-beam, and spectral CT, with evaluations on benchmarks such as AAPM Mayo, LoDoPaB-CT, and CT-RATE as well as multi-center cohorts. A central challenge is balancing speed and image quality with data consistency, anatomical fidelity, robustness across scanners and populations, and clinically meaningful evaluation.

Latest papers

CardsList

275 papers27 papers in the last four weeks, up 35% on the four weeks before. 0.2% of all new papers.

  1. ITKIT: Feasible CT Image Analysis based on SimpleITK and MMEngine

    Mar 15, 2026Yiqin Zhang, Meiling ChenMedical Image Analysis3D Medical Image Segmentation

  2. MGMAR: Metal-Guided Metal Artifact Reduction for X-ray Computed Tomography

    Mar 13, 2026Hyoung Suk Park, Kiwan JeonComputed TomographyImage Enhancement

    National Institute for Mathematical Sciences, Daejeon, 34047, Republic of Korea

  3. Neural Field Thermal Tomography: A Differentiable Physics Framework for Non-Destructive Evaluation

    Mar 11, 2026Tao Zhong, Yixun Hu, Dongzhe Zheng +2PDE Inverse ProblemsThermal Imaging

    Princeton University

  4. Evidential Perfusion Physics-Informed Neural Networks with Residual Uncertainty Quantification

    Mar 10, 2026Junhyeok Lee, Minseo Choi, Han Jang +5Evidential Deep LearningUncertainty Quantification

    Cancer Biology, Seoul National University College of Medicine, Seoul, Korea · Radiology, Seoul National University Hospital, Seoul, Korea · Bioengineering, Seoul National University, Seoul, Korea +3

  5. Transformer-Based Multi-Region Segmentation and Radiomic Analysis of HR-pQCT Imaging for Osteoporosis Classification

    Mar 10, 2026Mohseu Rashid Subah, Mohammed Abdul Gani Zilani, Thomas L. Nickolas +3RadiomicsMedical Image Segmentation

    Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA · Division of Bone and Mineral Diseases, Washington University Medicine, St. Louis, MO, USA · Department of Anatomy, Cell Biology & Physiology, Indiana University School of Medicine, Indianapolis, IN, USA +1

  6. Retrieval-Augmented Anatomical Guidance for Text-to-CT Generation

    Mar 9, 2026Daniele Molino, Camillo Maria Caruso, Paolo Soda +1Medical Image SynthesisComputed Tomography

    Unit of Artificial Intelligence and Computer Systems, Department of Engineering, Università Campus Bio-Medico di Roma, Rome, Italy · Department of Diagnostics and Intervention, Biomedical Engineering and Radiation Physics, Umeå University, Umeå, Sweden

  7. VesselFusion: Diffusion Models for Vessel Centerline Extraction from 3D CT Images

    Mar 9, 2026Soichi Mita, Shumpei Takezaki, Ryoma Bise3D Medical Imaging3D Diffusion Models

    Kyushu University, Fukuoka, Japan · German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany

  8. Virtual Intraoperative CT (viCT): Sequential Anatomic Updates for Modeling Tissue Resection Throughout Endoscopic Sinus Surgery

    Mar 7, 2026Nicole M. Gunderson, Graham J. Harris, Jeremy S. Ruthberg +5Computed TomographyEndoscopy

    Department of Mechanical Engineering, University of Washington, Seattle, WA, USA. · Department of Otolaryngology–Head and Neck Surgery, University of Washington Medical Center, University of Washington, Seattle, WA, USA.

  9. 3D CBCT Artefact Removal Using Perpendicular Score-Based Diffusion Models

    Mar 6, 2026Susanne Schaub, Florentin Bieder, Matheus L. Oliveira +4Cone-Beam CTComputed Tomography

    Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland · Piracicaba Dental School, University of Campinas, Piracicaba, Brazil · State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China +2

  10. CTForensics: A Comprehensive Dataset and Method for AI-Generated CT Image Detection

    Mar 2, 2026Yiheng Li, Zichang Tan, Guoqing Xu +3Image Forgery DetectionAI-Generated Image Detection

    School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China · MAIS, Institute of Automation, Chinese Academy of Sciences, Beijing, China · Sangfor Technologies Inc., Shenzhen, China +1

  11. Cross-Modal Guidance for Fast Diffusion-Based Computed Tomography

    Mar 1, 2026Timofey Efimov, Singanallur Venkatakrishnan, Maliha Hossain +2Computed TomographyDiffusion Model Guidance

    Carnegie Mellon University, Pittsburgh, USA · Oak Ridge National Laboratory, Oak Ridge, USA · Purdue University, West Lafayette, USA

  12. SCOUT: Fast Spectral CT Imaging in Ultra LOw-data Regimes via PseUdo-label GeneraTion

    Feb 28, 2026Guoquan Wei, Liu Shi, Shaoyu Wang +3Image ReconstructionComputed Tomography

    School of Information Engineering, Nanchang University, Nanchang, 330031, Jiangxi, China. · Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, 100049, China. · Jinan Laboratory of Applied Nuclear Science, Jinan, 251401, Shandong, China. +1

  13. Specializing Foundation Models via Mixture of Low-Rank Experts for Comprehensive Head CT Analysis

    Feb 28, 2026Youngjin Yoo, Han Liu, Bogdan Georgescu +14Medical Imaging Foundation ModelsLow-Rank Adaptation

    Digital Technology and Innovation, Siemens Healthineers, Princeton, NJ USA · Department of Computed Tomography, Siemens Healthineers, Forchheim, Germany · Department of Radiology, University of Maryland Medical Center, Baltimore, MD USA +4

  14. Unsupervised Semantic Segmentation in Synchrotron Computed Tomography with Self-Correcting Pseudo Labels

    Feb 27, 2026Austin Yunker, Peter Kenesei, Hemant Sharma +3Unsupervised Image Segmentation3D Semantic Segmentation

    Data Science and Learning Division, Argonne National Laboratory, Lemont, IL USA · X-Ray Science Division, Argonne National Laboratory, Lemont, IL USA

  15. Clinically-aligned ischemic stroke segmentation and ASPECTS scoring on NCCT imaging using a slice-gated loss on foundation representations

    Feb 27, 2026Hiba Azeem, Behraj Khan, Tahir Qasim SyedMedical Image SegmentationComputed Tomography

    Institute of Business Administration Karachi

  16. Efficient Flow Matching for Sparse-View CT Reconstruction

    Feb 27, 2026Jiayang Shi, Lincen Yang, Zhong Li +3Flow MatchingSparse-View CT Reconstruction

    Centrum Wiskunde en Informatica · LIACS, Leiden University · Great Bay University +1

  17. BiM-GeoAttn-Net: Linear-Time Depth Modeling with Geometry-Aware Attention for 3D Aortic Dissection CTA Segmentation

    Feb 27, 2026Yuan Zhang, Lei Liu, Jialin Zhang +3Medical Image Segmentation3D Medical Image Segmentation

    College of Computer Science Sichuan Normal University Chengdu, Sichuan 610068, China · Zhejiang University & Ant Group Hangzhou, Zhejiang, China · State Key Laboratory of Public Big Data Guizhou University Guiyang, Guizhou 550025, China

  18. A Framework for Cross-Domain Generalization in Coronary Artery Calcium Scoring Across Gated and Non-Gated Computed Tomography

    Feb 25, 2026Mahmut S. Gokmen, Moneera N. Haque, Steve W. Leung +6Domain GeneralizationComputed Tomography

    Center for Applied AI, University of Kentucky, Lexington, KY · Department of Medicine, Division of Cardiovascular Medicine and the Gill Heart and Vascular Institute, University of Kentucky, Lexington, KY · Department of Radiology, College of Medicine, University of Kentucky, Lexington, KY +1

  19. Segmenting Low-Contrast XCTs of Concrete: An Unsupervised Approach

    Feb 23, 2026Kaustav Das, Gaston Rauchs, Jan Sykora +1Image SegmentationSuperpixel Segmentation

    Department of Mechanics, Faculty of Civil Engineering, Czech Technical University in Prague, Thákurova 7, 166 29 Prague 6, Czech Republic · Structural Composites Unit, Luxembourg Institute of Science and Technology (LIST), 5 avenue des Hauts-Fourneaux L-4362 Esch-sur-Alzette, Luxembourg

  20. CT-Flow: Orchestrating CT Interpretation Workflow with Model Context Protocol Servers

    Feb 23, 2026Yannian Gu, Xizhuo Zhang, Linjie Mu +4Medical Image AnalysisMedical VLMs

    Qing Yuan Research Institute, Shanghai Jiao Tong University, Shanghai, China · Sensetime Research, Shanghai, China · Shanghai Innovation Institute, Shanghai, China

  21. DM4CT: Benchmarking Diffusion Models for Computed Tomography Reconstruction

    Feb 20, 2026Jiayang Shi, Daniel M. Pelt, K. Joost BatenburgComputed TomographyDiffusion-Based Inverse Problems

    LIACS, Leiden University · Centrum Wiskunde en Informatica

  22. TopoGate: Quality-Aware Topology-Stabilized Gated Fusion for Longitudinal Low-Dose CT New-Lesion Prediction

    Feb 19, 2026Seungik ChoGated Multimodal FusionLongitudinal Medical Image Analysis

    Department of Physics & Astronomy, Rice University, USA

  23. OmniCT: Towards a Unified Slice-Volume LVLM for Comprehensive CT Analysis

    Feb 18, 2026Tianwei Lin, Zhongwei Qiu, Wenqiao Zhang +12Radiology VLMsMedical VLMs

    Zhejiang University · DAMO Academy, Alibaba Group · Hupan Lab

  24. ROIX-Comp: Optimizing X-ray Computed Tomography Imaging Strategy for Data Reduction and Reconstruction

    Feb 17, 2026Amarjit Singh, Kento Sato, Kohei Yoshida +4Computed Tomography

    RIKEN (R-CCS), Kobe, Hyogo, Japan · The University of Electro-Communications, RIKEN (R-CCS), Tokyo, Japan · Japan Synchrotron Radiation Research Institute, Sayo, Hyogo, Japan +2

  25. CT-Bench: A Benchmark for Multimodal Lesion Understanding in Computed Tomography

    Feb 16, 2026Qingqing Zhu, Qiao Jin, Tejas S. Mathai +10Medical Image BenchmarksComputed Tomography

  26. StrokeNeXt: A Siamese-encoder Approach for Brain Stroke Classification in Computed Tomography Imagery

    Feb 16, 2026Leo Thomas Ramos, Angel D. SappaMedical Image ClassificationClassification

    Computer Vision Center · Universitat Aut`onoma de Barcelona · ESPOL Polytechnic University

  27. Artifact Reduction in Undersampled 3D Cone-Beam CTs using a Hybrid 2D-3D CNN Framework

    Feb 9, 2026Johannes Thalhammer, Tina Dorosti, Sebastian Peterhansl +3Cone-Beam CTSparse-View CT Reconstruction

    Chair of Biomedical Physics, Department of Physics, School of Natural Sciences · Munich Institute of Biomedical Engineering · Institute for Diagnostic and Interventional Radiology, School of Medicine and Health, TUM Klinikum +2

  28. Bi-temporal Image-driven Acute Stroke Evolution Analysis

    Feb 7, 2026Md Sazidur Rahman, Kjersti Engan, Kathinka Dæhli Kurz +1Longitudinal Medical Image AnalysisComputed Tomography

    Department of Electrical Engineering and Computer Science, University of Stavanger, Norway · Stavanger Medical Imaging Laboratory, Stavanger University, Hospital, Norway

  29. Tracing 3D Anatomy in 2D Strokes: A Multi-Stage Projection Driven Approach to Cervical Spine Fracture Identification

    Jan 21, 2026Fabi Nahian Madhurja, Rusab Sarmun, Muhammad E. H. Chowdhury +3Image SegmentationMedical Image Analysis

    Department of Computer Science and Engineering, BRAC University, Dhaka 1212, Bangladesh · Department of Electrical and Electronic Engineering, University of Dhaka, Dhaka 1000, Bangladesh · Department of Electrical Engineering, Qatar University, Doha 2713, Qatar +1

  30. Structured Spectral Graph Representation Learning for Multi-label Abnormality Analysis from 3D CT Scans

    Oct 12, 2025Theo Di Piazza, Carole Lazarus, Olivier Nempont +1Graph Neural NetworksGraph Representation Learning

    INSA Lyon, University of Lyon, CNRS, INSERM, CREATIS UMR 5220, U1294, Villeurbanne, France · Hospices Civil de Lyon, Lyon, France · Philips Clinical Informatics, Innovation Paris, France