Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Reconstruction algorithm for polychromatic CT imaging: application to beam hardening correction.

C H Yan1, R T Whalen, G S Beaupré

  • 1Department of Electrical Engineering, Stanford University, CA 94305, USA.

IEEE Transactions on Medical Imaging
|April 27, 2000
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

[Role of lymphatic network in cardiac repair post myocardial infarction].

Zhonghua xin xue guan bing za zhi·2026
Same author

[Haploidentical hematopoietic stem cell transplantation for advanced myelodysplastic syndrome patients with recurrent genetic abnormalities].

Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi·2026
Same author

[Screening and identification of vascular calcification-associated genes: implication of thymidine kinase 1].

Zhonghua xin xue guan bing za zhi·2025
Same author

[Clinical analysis of donor-purified CD34(+) stem cell boost in 11 patients with poor hematopoietic reconstruction after haploid hematopoietic stem cell transplantation for aplastic anemia].

Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi·2025
Same author

[Integrating single-cell analysis and epharmalib reverse virtual screening to predict novel vascular endothelial cell targets of dapagliflozin in treating diabetic cardiomyopathy].

Zhonghua xin xue guan bing za zhi·2025
Same author

[Clinical characteristics and risk factors for death of respiratory syncytial virus infection in adult patients after hematopoietic stem cell transplantation].

Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi·2024
Same journal

UniOCTSeg++: Refined Hierarchical Prompt Strategy and Bi-directional Progressive Consistency Learning for Universal Retinal Layer Segmentation in OCT.

IEEE transactions on medical imaging·2026
Same journal

Volumetric Functional Ultrasound Imaging in Macaques.

IEEE transactions on medical imaging·2026
Same journal

MUST: Multi-style virtual staining with incomplete pairs.

IEEE transactions on medical imaging·2026
Same journal

BrainCL: Transformer-Based Brain Network Contrastive Learning with Multi-Order Topology and Salience Masking.

IEEE transactions on medical imaging·2026
Same journal

LLM-enhanced Neuron Segmentation and Reconstruction in Complex Mouse Brain Images.

IEEE transactions on medical imaging·2026
Same journal

Matrixed-Spectrum Decomposition Accelerated Linear Boltzmann Transport Equation Solver for Fast Scatter Correction in Multi-Spectral CT.

IEEE transactions on medical imaging·2026
See all related articles

A novel computed tomography (CT) algorithm reduces beam hardening artifacts in single- and dual-energy imaging. This method significantly improves quantitative CT (QCT) accuracy, offering a more robust and precise approach for medical imaging analysis.

Area of Science:

  • Medical Imaging
  • Physics
  • Computational Science

Background:

  • Beam hardening artifacts are a common issue in computed tomography (CT) imaging, affecting image quality and quantitative accuracy.
  • Existing correction techniques for beam hardening have limitations in robustness and precision.
  • Quantitative CT (QCT) requires high accuracy for reliable material characterization.

Purpose of the Study:

  • To develop and validate a new reconstruction algorithm for single- and dual-energy CT that mitigates beam hardening artifacts.
  • To enhance the accuracy of quantitative CT measurements.
  • To enable material characterization in dual-energy CT without prior substance knowledge.

Main Methods:

  • A novel reconstruction algorithm incorporating polychromatic X-ray beam characteristics was developed.
Keywords:
NASA Center ARCNASA Discipline MusculoskeletalNASA Program Biomedical Research and Countermeasures

Related Experiment Videos

  • The single-energy algorithm assumes voxels are mixtures of two known substances, suitable for QCT.
  • The dual-energy algorithm estimates material attenuation coefficients without prior object information.

    • Main Results:

    • The algorithm effectively eliminates beam hardening artifacts in both single- and dual-energy CT.
    • Experimental results demonstrate superior robustness and accuracy compared to existing single-energy correction methods.
    • QCT measurements using the new algorithm showed a five-fold increase in accuracy compared to current QCT systems.
    • The dual-energy mode accurately estimated the attenuation coefficient function of K2HPO4 solution.

    Conclusions:

    • The proposed algorithm offers a significant advancement in CT image reconstruction, particularly for quantitative applications.
    • The dual-energy capability provides a powerful tool for material characterization of unknown substances.
    • This method holds promise for improving diagnostic accuracy and enabling new quantitative analyses in medical imaging.