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

Contrast, resolution, and detectability in MR imaging.

R T Constable1, R M Henkelman

  • 1Department of Medical Biophysics, University of Toronto, Ontario, Canada.

Journal of Computer Assisted Tomography
|March 1, 1991
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

Exploring the diagnostic and prognostic utility of resting state functional MRI connectivity in acute/sub-acute TBI.

medRxiv : the preprint server for health sciences·2025
Same author

Functional network properties derived from wide-field calcium imaging differ with wakefulness and across cell type.

NeuroImage·2022
Same author

Multiple-mouse magnetic resonance imaging with cryogenic radiofrequency probes for evaluation of brain development.

NeuroImage·2022
Same author

Substance use patterns in 9-10 year olds: Baseline findings from the adolescent brain cognitive development (ABCD) study.

Drug and alcohol dependence·2021
Same author

Baseline brain function in the preadolescents of the ABCD Study.

Nature neuroscience·2021
Same author

Kctd13-deficient mice display short-term memory impairment and sex-dependent genetic interactions.

Human molecular genetics·2018
Same journal

Artificial Intelligence for Opportunistic Screening for Osteoporosis and Spine Fractures Using Computed Tomography: A Systematic Review and Meta-Analysis.

Journal of computer assisted tomography·2026
Same journal

Accuracy and Variability of Spatial Localization of Infarct Core Predicted by CT Perfusion.

Journal of computer assisted tomography·2026
Same journal

Acute Biliary Disorders and Complications.

Journal of computer assisted tomography·2026
Same journal

Temporal Evolution of Sternal Healing on Chest CT Following Median Sternotomy: A Retrospective Analysis of Patterns of Fat Stranding, Lymphadenopathy, and Callus Formation.

Journal of computer assisted tomography·2026
Same journal

From Magnetic Resonance Imaging Radiomics to the Prediction of Regional Nodal Metastasis in Laryngeal Cancer.

Journal of computer assisted tomography·2026
Same journal

Texture Analysis of Subsolid Nodules Detected on Computed Tomography for Differentiating Minimally Invasive From Invasive Adenocarcinoma.

Journal of computer assisted tomography·2026
See all related articles

High-resolution magnetic resonance imaging (MRI) improves detection of high-contrast features but reduces signal-to-noise ratio and low-contrast detectability. Post-acquisition filtering does not recover lost low-contrast information.

Area of Science:

  • Medical Imaging
  • Radiology
  • Biophysics

Background:

  • Advancements in fast scan techniques and high-field imagers enable high-resolution MR imaging.
  • Increased resolution offers potential for detecting small, high-contrast pathological features.

Purpose of the Study:

  • To examine the trade-offs between image resolution, signal-to-noise ratio (SNR), and low-contrast detectability in MR imaging.
  • To evaluate the impact of resolution on soft tissue differentiation in clinical settings.

Main Methods:

  • Acquisition of MR images at constant imaging time, field of view, and bandwidth, but varying resolutions.
  • Generation and comparison of contrast-detail curves with theoretical models.
  • Development of a method to measure contrast in magnitude images across different resolutions and receiver attenuation values.

Related Experiment Videos

Main Results:

  • Higher resolution MR imaging leads to a non-recoverable decrease in SNR per pixel and reduced low-contrast detectability.
  • Clinical examples demonstrate decreased soft tissue differentiation with increased resolution at fixed imaging times.
  • Nearest neighbor averaging of high-resolution images does not restore lost low-contrast detectability.

Conclusions:

  • Transitioning to high-resolution MR imaging necessitates careful consideration of the trade-off with low-contrast detectability.
  • Image processing techniques like filtering cannot compensate for the inherent loss of low-contrast information during high-resolution acquisition.