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 Concept Videos

Computed Tomography01:10

Computed Tomography

7.8K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
7.8K
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

207
DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
207

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Global prevalence of experienced and internalized weight stigma among the general adult population: A systematic literature review.

Journal of health psychology·2026
Same author

Clinician-Centered Evaluation Framework for Explainable AI Heatmaps in OCT-Based Retinal Disease Classification.

Journal of imaging·2026
Same author

Global environmental change and the gut-kidney-brain axis: a review and framework of vulnerability and resilience.

The Lancet. Planetary health·2026
Same author

Personalized Nutrition, Lifestyle, and Supplementation Strategies to Support Cognitive Performance and Well-Being in Esports Athletes: A Narrative Review.

Nutrients·2026
Same author

Association between maternal multimorbidity and preterm birth: a systematic review and meta-analysis.

BMC pregnancy and childbirth·2026
Same author

Maternal multimorbidity and chronic conditions as predictors of preterm birth: A matched case-control study in Cyprus.

Journal of multimorbidity and comorbidity·2026

Related Experiment Video

Updated: Dec 22, 2025

High-Resolution Cardiac Positron Emission Tomography/Computed Tomography for Small Animals
11:09

High-Resolution Cardiac Positron Emission Tomography/Computed Tomography for Small Animals

Published on: December 16, 2022

4.1K

[Comparative evaluation of Iterative and FORE-Iterative reconstruction algorithms for PET/CT].

Dimitra Kefallonitou1, Konstantinos Giannakou, Alexandros Samartzis

  • 1Department of Health Sciences, School of Sciences, European University Cyprus, Nicosia, Cyprus. dk151666@students.euc.ac.cy.

Hellenic Journal of Nuclear Medicine
|May 4, 2020
PubMed
Summary

The Iterative reconstruction algorithm offers superior image quality for 18F-FDG PET/CT scans compared to FORE-Iterative. This enhancement in signal-to-noise ratio and contrast-to-noise ratio leads to sharper images and more accurate diagnoses.

More Related Videos

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph
05:32

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Published on: February 21, 2025

611
Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm
06:53

Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm

Published on: July 23, 2020

6.0K

Related Experiment Videos

Last Updated: Dec 22, 2025

High-Resolution Cardiac Positron Emission Tomography/Computed Tomography for Small Animals
11:09

High-Resolution Cardiac Positron Emission Tomography/Computed Tomography for Small Animals

Published on: December 16, 2022

4.1K
Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph
05:32

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Published on: February 21, 2025

611
Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm
06:53

Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm

Published on: July 23, 2020

6.0K

Area of Science:

  • Nuclear Medicine
  • Medical Imaging
  • Radiochemistry

Background:

  • Positron Emission Tomography/Computed Tomography (PET/CT) is crucial for cancer diagnosis.
  • Reconstruction algorithms significantly impact PET/CT image quality and diagnostic accuracy.
  • Evaluating advanced algorithms like Iterative and FORE-Iterative is essential for optimizing clinical workflows.

Purpose of the Study:

  • To compare the image quality of the Iterative reconstruction algorithm against the FORE-Iterative algorithm.
  • To assess the impact of these algorithms on quantitative metrics like SUVmax, SUVpeak, SUVmean, SNR, and CNR.
  • To determine which algorithm provides superior diagnostic performance for 18F-FDG PET/CT data.

Main Methods:

  • Retrospective analysis of 18F-FDG PET/CT data from 9 patients.
  • Image reconstruction using both Iterative and FORE-Iterative algorithms.
  • Quantitative assessment of image quality parameters (SUVmax, SUVpeak, SUVmean, SNR, CNR) in tumor regions.

Main Results:

  • The Iterative algorithm demonstrated superior image quality compared to the FORE-Iterative algorithm.
  • Iterative reconstruction resulted in significant improvements in signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR).
  • Reduced noise levels with the Iterative algorithm led to sharper images.

Conclusions:

  • The Iterative algorithm enhances image quality in 18F-FDG PET/CT by improving SNR and CNR.
  • Sharper, less noisy images obtained with the Iterative algorithm facilitate safer clinical observations.
  • The Iterative algorithm supports more accurate diagnoses in nuclear medicine imaging.