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

A cone-beam reconstruction algorithm using shift-variant filtering and cone-beam backprojection.

M Defrise1, R Clack

  • 1Div. of Nucl. Med., Vrije Univ., Brussels.

IEEE Transactions on Medical Imaging
|January 1, 1994
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

A quality improvement study: Optimizing pneumococcal vaccination rates in children with cochlear implants.

Vaccine·2022
Same author

Detection of asymptomatic carotid stenosis in patients with lower-extremity arterial disease: development and external validations of a risk score.

The British journal of surgery·2021
Same author

Iterative correction of beam hardening artifacts in CT.

Medical physics·2011
Same author

Non-Gaussian space-variant resolution modelling for list-mode reconstruction.

Physics in medicine and biology·2010
Same author

SOLVING THE INTERIOR PROBLEM OF COMPUTED TOMOGRAPHY USING A PRIORI KNOWLEDGE.

Inverse problems·2010
Same author

Resolution improvement and noise reduction in human pinhole SPECT using a multi-ray approach and the SHINE method.

Nuklearmedizin. Nuclear medicine·2009
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

A new filtered-backprojection algorithm reconstructs 3D images from cone-beam data using any orbit. This method avoids 3D rebinning and handles data redundancy effectively for improved image reconstruction.

Area of Science:

  • Medical Imaging
  • Image Reconstruction
  • Computational Imaging

Background:

  • Cone-beam computed tomography (CBCT) is crucial for 3D imaging.
  • Accurate image reconstruction from limited or arbitrary orbits remains a challenge.
  • Existing algorithms like Grangeat's require complex 3D rebinning.

Purpose of the Study:

  • To develop an exact inversion formula for cone-beam reconstruction.
  • To provide a shift-variant filtered-backprojection (FBP) algorithm applicable to any orbit satisfying Tuy's conditions.
  • To eliminate the need for 3D rebinning and efficiently handle data redundancy.

Main Methods:

  • Developed an exact inversion formula based on the derivative of the 3D Radon transform.
  • Formulated a shift-variant filtered-backprojection (FBP) algorithm.

Related Experiment Videos

  • Introduced a weighting function to manage data redundancy without discarding projections.
  • Expressed the algorithm in a cone-beam detector reference frame.

    • Main Results:

    • The proposed method enables exact reconstruction from cone-beam data acquired from any orbit meeting Tuy's sufficiency conditions.
    • The algorithm bypasses the computationally intensive 3D rebinning step.
    • Data redundancy is elegantly managed, preserving all acquired data.
    • The algorithm is shown to be equivalent to the Feldkamp algorithm for a single circular orbit.

    Conclusions:

    • The developed FBP algorithm offers an efficient and exact solution for cone-beam CT reconstruction.
    • It provides a significant advancement over existing methods by simplifying the reconstruction process.
    • The approach is versatile, applicable to various orbits and robust to data redundancy.