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

Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

33
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...
33
Computed Tomography01:10

Computed Tomography

4.7K
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...
4.7K
Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

375
Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
375

You might also read

Related Articles

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

Sort by
Same author

Developmental venous anomalies on fetal magnetic resonance imaging: prevalence and reproducible radiological phenotypes.

Pediatric radiology·2026
Same author

In Vivo Assessment of Placental Structure and Perfusion in Late-Gestation Pregnancies and Their Association With Fetal Growth.

NMR in biomedicine·2026
Same author

In-vivo MRI-based assessment of placental morphology in growth-restricted fetuses.

Placenta·2026
Same author

Pediatric metastatic medulloblastoma: upfront biopsy followed by oncological treatment without excision of the primary tumor.

Journal of neurosurgery. Pediatrics·2026
Same author

Pathologic and radiologic response to neoadjuvant therapy in advanced differentiated thyroid cancer.

European thyroid journal·2026
Same author

Surgical Outcomes Following Neoadjuvant-Targeted Therapy for Advanced Differentiated Thyroid Cancer-Real-World Data.

Clinical endocrinology·2025

Related Experiment Video

Updated: Aug 7, 2025

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

42.7K

Pediatric low-dose head CT: Image quality improvement using iterative model reconstruction.

Aviad Rabinowich1,2, Genady Shendler1,2, Liat Ben-Sira1,2

  • 1Department of Radiology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.

The Neuroradiology Journal
|March 10, 2023
PubMed
Summary

Iterative model reconstruction significantly improves image quality in pediatric head CT scans, offering better contrast and fewer artifacts. This advanced technique enhances diagnostic accuracy while reducing radiation exposure for children.

Keywords:
BrainComputed tomographyIterative reconstructionPediatrics

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

354
Author Spotlight: Enhanced Quantification of Cardiovascular Calcification Progression for Longitudinal Micro PET/CT Studies in Small Research Animals
08:02

Author Spotlight: Enhanced Quantification of Cardiovascular Calcification Progression for Longitudinal Micro PET/CT Studies in Small Research Animals

Published on: November 15, 2024

665

Related Experiment Videos

Last Updated: Aug 7, 2025

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

42.7K
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

354
Author Spotlight: Enhanced Quantification of Cardiovascular Calcification Progression for Longitudinal Micro PET/CT Studies in Small Research Animals
08:02

Author Spotlight: Enhanced Quantification of Cardiovascular Calcification Progression for Longitudinal Micro PET/CT Studies in Small Research Animals

Published on: November 15, 2024

665

Area of Science:

  • Radiology
  • Medical Imaging
  • Pediatric Imaging

Background:

  • Low-dose computed tomography (CT) is crucial for pediatric imaging to minimize radiation exposure.
  • Traditional filtered-back projection (FBP) reconstruction methods may limit image quality at low radiation doses.
  • Iterative model reconstruction (IMR) techniques offer potential improvements in image quality and noise reduction.

Purpose of the Study:

  • To compare image quality between filtered-back projection (FBP) and iterative model reconstruction (IMR) for pediatric non-contrast low-dose head CT.
  • To assess objective and subjective differences in image quality, including contrast-to-noise ratio (CNR) and signal-to-noise ratio (SNR).
  • To evaluate the impact of reconstruction methods on the visualization of anatomical structures and the presence of artifacts.

Main Methods:

  • Retrospective analysis of 233 low-dose non-contrast head CT scans from 148 pediatric patients.
  • Reconstruction of all CT datasets using both FBP and IMR algorithms.
  • Objective image quality assessment using CNR and SNR in supra- and infratentorial regions.
  • Subjective image quality evaluation by two experienced pediatric neuroradiologists, assessing anatomical detail, differentiation, and artifacts.

Main Results:

  • IMR demonstrated a twofold improvement in CNR between gray and white matter (p < 0.001).
  • IMR resulted in more than a twofold improvement in white and gray matter SNR (p < 0.001).
  • Radiologists rated anatomical details, gray-white matter differentiation, and overall image quality as superior with IMR, with fewer beam hardening artifacts.

Conclusions:

  • IMR provides superior contrast-to-noise and signal-to-noise ratios compared to FBP in pediatric low-dose head CT.
  • IMR reduces artifacts and enhances image quality in both supra- and infratentorial regions.
  • IMR is a valuable tool for improving diagnostic capability while minimizing radiation dose in pediatric CT imaging.