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

An iterative maximum-likelihood polychromatic algorithm for CT.

B De Man1, J Nuyts, P Dupont

  • 1Medical Image Computing, Radiology-ESAT/PSI, University Hospital Gasthuisberg, Leuven, Belgium. bruno.deman@crd.ge.com

IEEE Transactions on Medical Imaging
|November 1, 2001
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

Cardiac Phase Estimation Using Deep Learning Analysis of Pulsed-Mode Projections: Toward Autonomous Cardiac CT Imaging.

IEEE transactions on medical imaging·2025
Same author

The effects of adjuvant experimental radioimmunotherapy and hyperthermic intraperitoneal chemotherapy on intestinal and abdominal healing after cytoreductive surgery for peritoneal carcinomatosis in the rat.

Annals of surgical oncology·2008
Same author

Primary prevention of coronary heart disease in general practice: a cross sectional population study.

International journal of clinical practice·2004
Same author

Hyaluronan-based antiadhesive membrane has no major effect on intraperitoneal growth of colonic tumour cells.

European surgical research. Europaische chirurgische Forschung. Recherches chirurgicales europeennes·2004
Same author

Extended freeze-dried Mycobacterium bovis Bacillus Calmette-Guérin induces the release of interleukin-12 but not tumour necrosis factor-alpha by alveolar macrophages, both in vitro and in vivo.

Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology·2003
Same author

[Preliminary study on isoniazid-epiroprim combination in a tuberculosis murine model].

Bulletin de la Societe de pathologie exotique (1990)·2003
Same journal

Physiology-guided Self-supervised Learning for Simultaneous Dual-Tracer PET Separation.

IEEE transactions on medical imaging·2026
Same journal

Informed-Exploration Reinforcement Learning for Automated Virtual Coronary Intervention Planning.

IEEE transactions on medical imaging·2026
Same journal

4D Reconstruction of Fetal Left Ventricle from Echocardiography via 2.5D Radial Segmentation and Graph-Fourier Reconstruction.

IEEE transactions on medical imaging·2026
Same journal

Generalised Medical Phrase Grounding.

IEEE transactions on medical imaging·2026
Same journal

EndoLRMGS: Combining Large Reconstruction Modelling and Gaussian Splatting for Complete Endoscopic Scene Reconstruction.

IEEE transactions on medical imaging·2026
Same journal

A Neural-Analytical Fusion Scatter Correction Method for Multi-Source CT Using Equivalent High-Order Scatter.

IEEE transactions on medical imaging·2026
See all related articles

This study introduces a new X-ray computed tomography algorithm that eliminates beam hardening artifacts using a polychromatic acquisition model. The advanced method shows excellent results in simulations and phantom studies, promising for metal artifact reduction.

Area of Science:

  • Medical Imaging
  • Physics
  • Computer Science

Background:

  • Beam hardening artifacts are a common issue in X-ray computed tomography (CT).
  • Existing reconstruction algorithms often struggle to fully correct for these artifacts.
  • Accurate modeling of X-ray polychromatic spectra and energy-dependent attenuation is crucial for artifact reduction.

Purpose of the Study:

  • To develop and evaluate a novel iterative maximum-likelihood reconstruction algorithm for X-ray CT.
  • To incorporate a polychromatic acquisition model to prevent beam hardening artifacts.
  • To assess the algorithm's effectiveness in simulations and phantom measurements, and explore its potential for metal artifact reduction.

Main Methods:

  • An iterative maximum-likelihood reconstruction algorithm was developed.

Related Experiment Videos

  • A polychromatic acquisition model was integrated, representing the X-ray spectrum as discrete energies.
  • Energy dependence of attenuation was modeled by decomposing the linear attenuation coefficient into photoelectric and Compton scatter components, constrained by prior material assumptions.

    • Main Results:

    • The algorithm effectively eliminated beam hardening artifacts in simulations and phantom measurements.
    • Excellent reconstruction results were achieved, demonstrating the superiority of the improved acquisition model.
    • Preliminary investigations suggest significant potential for metal artifact reduction using this algorithm.

    Conclusions:

    • The developed iterative maximum-likelihood algorithm successfully mitigates beam hardening artifacts in X-ray CT.
    • Improving the acquisition model within the reconstruction algorithm is key to reducing artifacts.
    • The algorithm shows promise for advanced applications such as metal artifact reduction.