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

Evaluation of a 3D reconstruction algorithm for multi-slice PET scanners.

S R Cherry1, M Dahlbom, E J Hoffman

  • 1Division of Nuclear Medicine and Biophysics, UCLA School of Medicine 90024.

Physics in Medicine and Biology
|March 1, 1992
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 high resolution and high detection efficiency depth-encoding detector for brain positron emission tomography based on a 0.75 mm pitch scintillator array.

Journal of instrumentation : an IOP and SISSA journal·2021
Same author

Tomographic imaging with Compton PET modules: ideal case and first implementation.

Journal of instrumentation : an IOP and SISSA journal·2021
Same author

Lead-free MCP to improve coincidence time resolution and reduce MCP direct interactions.

Physics in medicine and biology·2021
Same author

A 6-month randomized, double-blind, placebo-controlled trial of weekly exenatide in adolescents with obesity.

Pediatric obesity·2020
Same author

SU-E-I-82: Image Signal-To-Noise Equalization in Whole Body PET Using Variable Acquisition Times.

Medical physics·2017
Same author

TU-E-218-01: PET/CT QA/QC and Acceptance Testing.

Medical physics·2017

A new 3D reconstruction algorithm for positron emission tomography (PET) scanners offers high-quality, artifact-free imaging. While minor resolution issues exist due to scanner geometry, the method is robust and fast for 3D PET data.

Area of Science:

  • Medical Imaging
  • Nuclear Medicine
  • Image Reconstruction

Background:

  • Multi-slice positron emission tomography (PET) scanners without septa present unique reconstruction challenges.
  • Accurate 3D image reconstruction is crucial for diagnostic accuracy in PET imaging.

Purpose of the Study:

  • To evaluate a novel fully 3D filtered backprojection algorithm for reconstructing data from septumless multi-slice PET scanners.
  • To assess the algorithm's performance regarding image quality, artifact reduction, and accuracy.

Main Methods:

  • A 3D filtered backprojection algorithm incorporating a forward-projection step using a 2D subset of data was developed.
  • Axial sampling was enhanced by combining adjacent polar angles to improve axial resolution.
  • The algorithm was validated using both real and simulated PET datasets and a MRI/PET registration phantom.

Related Experiment Videos

Main Results:

  • The algorithm produced high-quality, artifact-free 3D PET reconstructions across various imaging conditions.
  • Accurate event placement was confirmed through phantom measurements.
  • A trade-off between resolution and noise was observed, influenced by the forward-projection step and filter choice.

Conclusions:

  • The evaluated 3D reconstruction algorithm is robust, relatively fast, and suitable for septumless multi-slice PET scanners.
  • Minor limitations in axial resolution are linked to detector sampling inherent in the scanner design.
  • The algorithm demonstrates significant potential for improving 3D PET data reconstruction.