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

Sample Size Calculation01:19

Sample Size Calculation

5.8K
Knowledge of the sample size is the first requirement to conduct random sampling or an experiment. The sample size is the total number of units, observations, or groups (in some cases) used to get the data to estimate a population parameter. As the name suggests, the sample size is that of the sample drawn from the population and differs from the population size.
The sample size for the given experiment or sampling effort is fundamental to any study design. Sample size decides the number of...
5.8K
Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

8.7K
Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
8.7K

You might also read

Related Articles

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

Sort by
Same author

Quantitative Susceptibility Mapping of Kidney Stones: An Ex Vivo MRI Phantom Study.

Magnetic resonance in medicine·2026
Same author

Evaluation of Individual T1w-DIXON Contrasts for Subtraction Generation in Dynamic Contrast-Enhanced Breast MRI.

Diagnostics (Basel, Switzerland)·2026
Same author

Towards Clinical Translation of Intravoxel Incoherent Motion MRI: Acquisition and Analysis Consensus Recommendations.

Journal of magnetic resonance imaging : JMRI·2026
Same author

Multi-Parametric MRI Approach at 3 T and 7 T for Assessing Skeletal Muscle Pathology in Myofibrillar Myopathies: A Pilot Study.

Journal of cachexia, sarcopenia and muscle·2026
Same author

7-T Potassium (<sup>39</sup>K) MRI to Assess Muscle K<sup>+</sup> Depletion in Primary Aldosteronism.

Radiology·2026
Same author

Fat/Water Separation at 7 T Using a 3D Radial Sequence With Quasi-Continuous Echo Times.

Magnetic resonance in medicine·2026

Related Experiment Video

Updated: Dec 5, 2025

Making MR Imaging Child's Play - Pediatric Neuroimaging Protocol, Guidelines and Procedure
15:18

Making MR Imaging Child's Play - Pediatric Neuroimaging Protocol, Guidelines and Procedure

Published on: July 30, 2009

18.5K

Sample size estimation: Current practice and considerations for original investigations in MRI technical development

Jannis Hanspach1, Armin M Nagel1, Bernhard Hensel2

  • 1Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.

Magnetic Resonance in Medicine
|October 15, 2020
PubMed
Summary

Magnetic Resonance (MR) technical development studies frequently use small sample sizes, with a median of 6 healthy volunteers. This practice balances statistical power needs with minimizing human subject research.

Keywords:
current practicemethodological MRI developmentsnumber of subjectsnumber of volunteersproof-of-principle studiessample size estimation

More Related Videos

Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI
06:26

Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI

Published on: November 27, 2019

75.9K
Modeling Brain Metastases Through Intracranial Injection and Magnetic Resonance Imaging
06:44

Modeling Brain Metastases Through Intracranial Injection and Magnetic Resonance Imaging

Published on: June 7, 2020

7.8K

Related Experiment Videos

Last Updated: Dec 5, 2025

Making MR Imaging Child's Play - Pediatric Neuroimaging Protocol, Guidelines and Procedure
15:18

Making MR Imaging Child's Play - Pediatric Neuroimaging Protocol, Guidelines and Procedure

Published on: July 30, 2009

18.5K
Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI
06:26

Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI

Published on: November 27, 2019

75.9K
Modeling Brain Metastases Through Intracranial Injection and Magnetic Resonance Imaging
06:44

Modeling Brain Metastases Through Intracranial Injection and Magnetic Resonance Imaging

Published on: June 7, 2020

7.8K

Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Radiology

Background:

  • Magnetic Resonance (MR) technical development relies on studies involving healthy volunteers.
  • Determining appropriate sample sizes is crucial for study validity and ethical considerations.

Purpose of the Study:

  • To analyze current practices in sample size selection for MR technical development studies.
  • To provide guidance on sample size selection based on published research.

Main Methods:

  • A systematic review of original articles published in Magnetic Resonance in Medicine from 2017-2019.
  • Categorization of studies by technique, anatomical region, and magnetic field strength.
  • Collection and evaluation of sample sizes (number of healthy volunteers).

Main Results:

  • 882 studies were included, with a median sample size of 6 healthy volunteers.
  • Sample size distributions showed peaks at 1, 5, and 10 participants.
  • Over 95% of studies used 20 or fewer healthy volunteers.

Conclusions:

  • A wide variance in sample sizes exists in MR technical development studies.
  • Current practice favors small sample sizes (1-10) to balance statistical power and ethical concerns.
  • Investigators must still ensure sufficient data for statistical conclusions.