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

True three-dimensional cone-beam reconstruction (TTCR) algorithm.

S Z Lee1, J B Ra, S K Hilal

  • 1Dept. of Radiol., Columbia Univ., New York, NY.

IEEE Transactions on Medical Imaging
|January 1, 1989
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

Dopaminergic manipulations and its effects on neurogenesis and motor function in a transgenic mouse model of Huntington's disease.

Neurobiology of disease·2014
Same author

Rainwater harvesting in schools in Taiwan: system characteristics and water quality.

Water science and technology : a journal of the International Association on Water Pollution Research·2010
Same author

Optical filtering to compensate for degradation of radiographic images produced by extended sources.

Applied optics·2010
Same author

An efficient motion vector coding scheme based on minimum bitrate prediction.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2008
Same author

Ultra fast symmetry and SIMD-based projection-backprojection (SSP) algorithm for 3-D PET image reconstruction.

IEEE transactions on medical imaging·2007
Same author

Neural substrates, experimental evidences and functional hypothesis of acupuncture mechanisms.

Acta neurologica Scandinavica·2006
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
Same journal

The Ritz Adjoint Method for MRI Pulse Design.

IEEE transactions on medical imaging·2026
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
See all related articles

A novel true three-dimensional cone-beam reconstruction (TTCR) algorithm enhances direct volume image reconstruction. This advanced method offers superior spatial resolution and computational efficiency compared to existing techniques.

Area of Science:

  • Medical Imaging
  • Computational Science
  • Image Reconstruction

Background:

  • Direct volume reconstruction from cone-beam projections is crucial for advanced imaging.
  • Existing algorithms face limitations in spatial resolution and computational efficiency.
  • The complete sphere geometry presents unique challenges for 3D reconstruction.

Purpose of the Study:

  • To develop a true three-dimensional cone-beam reconstruction (TTCR) algorithm for direct volume image reconstruction.
  • To address the limitations of existing parallel-beam reconstruction methods.
  • To improve spatial resolution and computational efficiency in 3D imaging.

Main Methods:

  • Development of a TTCR algorithm based on the parallel-beam true three-dimensional reconstruction (TTR) algorithm.

Related Experiment Videos

  • Utilizing modified filtered backprojection technique with 2-D space-invariant filters.
  • Application to complete sphere geometry for direct volume image reconstruction.

    • Main Results:

    • The proposed TTCR algorithm demonstrates superior spatial resolution compared to the parallel-beam TTR algorithm.
    • The algorithm offers enhanced computational efficiency.
    • Successful direct volume image reconstruction from 2-D cone-beam projections was achieved.

    Conclusions:

    • The developed TTCR algorithm is a significant advancement in direct volume image reconstruction.
    • It provides improved performance in terms of spatial resolution and computational efficiency.
    • This method holds promise for enhancing 3D imaging applications.