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

Hybrid reconstruction algorithm for x-ray computed tomography.

R Waggener1, M Lee, D Mickish

  • 1Radiology Department, University of Texas Health Science Center, San Antonio 78284.

Medical Physics
|March 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

Protoplasmic astrocytoma with multifocal involvement: case report and radiological findings.

BJR case reports·2018
Same author

Prospects for Observing and Localizing Gravitational-Wave Transients with Advanced LIGO and Advanced Virgo.

Living reviews in relativity·2017
Same author

Allergen immunotherapy for insect venom allergy: a systematic review and meta-analysis.

Allergy·2017
Same author

Correcting severe valgus deformity: taking out the knock.

The bone & joint journal·2017
Same author

Construction of the optical part of a time-of-flight detector prototype for the AFP detector.

Optics express·2016
Same author

Using semi-Markov processes to study timeliness and tests used in the diagnostic evaluation of suspected breast cancer.

Statistics in medicine·2016

A novel hybrid reconstruction algorithm (HRA) improves fan beam CT imaging by adapting parallel beam methods. This method corrects for center of rotation shifts, enhancing image accuracy in medical imaging systems.

Area of Science:

  • Medical imaging
  • Computed tomography (CT)
  • Image reconstruction algorithms

Background:

  • Fan beam geometry is common in CT scanners but presents reconstruction challenges.
  • Accurate image reconstruction is crucial for diagnostic imaging.
  • Center of rotation shift can degrade image quality.

Purpose of the Study:

  • To derive and evaluate a hybrid reconstruction algorithm (HRA) for fan beam geometry.
  • To adapt existing parallel beam reconstruction techniques for fan beam systems.
  • To incorporate correction for center of rotation shift within the algorithm.

Main Methods:

  • Developed a hybrid reconstruction algorithm (HRA) modifying a parallel beam formula.
  • Implemented a simple geometric conversion for fan beam data.

Related Experiment Videos

  • Introduced a modified back projection formula with integrated center of rotation shift correction.
  • Validated the algorithm using computer simulations.

    • Main Results:

    • The HRA successfully reconstructs images from fan beam data.
    • Simulations demonstrated improved image quality with the corrected algorithm compared to the uncorrected version.
    • The algorithm effectively compensates for center of rotation shifts.

    Conclusions:

    • The proposed hybrid reconstruction algorithm is effective for fan beam CT.
    • The algorithm offers a viable solution for improving image accuracy in systems with linear detector arrays.
    • Correction for center of rotation shift is a critical component for high-quality fan beam reconstruction.