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

You might also read

Related Articles

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

Sort by
Same author

Characterization and Validation of Compressed Sensing for Time-of-Flight MRI Angiography of the Human Brain at 3T and 7T.

bioRxiv : the preprint server for biology·2026
Same author

Harmonized Protocol for Subfield Segmentation in the Hippocampal Body on High-Resolution In Vivo MRI From the Hippocampal Subfields Group (HSG).

Hippocampus·2026
Same author

Characterization of hippocampal subfields using histology-based annotated postmortem MRI: Lessons for in vivo segmentation II.

bioRxiv : the preprint server for biology·2025
Same author

Harmonized Protocol for Segmentation of the Hippocampal Tail on High-Resolution <i>in vivo</i> MRI from the Hippocampal Subfields Group (HSG).

bioRxiv : the preprint server for biology·2025
Same author

Regional brain aging patterns reveal disease-specific pathways of neurodegeneration.

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

Medial temporal lobe Tau-Neurodegeneration <i>mismatch</i> from MRI and plasma biomarkers identifies vulnerable and resilient phenotypes with AD.

medRxiv : the preprint server for health sciences·2025

Related Experiment Video

Updated: Jul 8, 2025

High-resolution In Vivo Manual Segmentation Protocol for Human Hippocampal Subfields Using 3T Magnetic Resonance Imaging
11:03

High-resolution In Vivo Manual Segmentation Protocol for Human Hippocampal Subfields Using 3T Magnetic Resonance Imaging

Published on: November 10, 2015

9.4K

A (Sub)field Guide to Quality Control in Hippocampal Subfield Segmentation on Highresolution T2-weighted MRI.

K L Canada1, N Mazloum-Farzaghi2,3, G Rådman4

  • 1Institute of Gerontology, Wayne State University, Detroit, MI 48202.

Biorxiv : the Preprint Server for Biology
|December 11, 2023
PubMed
Summary

Quality control (QC) is crucial for reliable brain imaging measurements. This study surveyed researchers on QC for hippocampal subfield analysis, providing recommendations to improve data validity and reporting in magnetic resonance imaging (MRI) studies.

More Related Videos

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images
06:48

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images

Published on: January 7, 2019

8.9K
A Comprehensive Protocol for Manual Segmentation of the Medial Temporal Lobe Structures
12:30

A Comprehensive Protocol for Manual Segmentation of the Medial Temporal Lobe Structures

Published on: July 2, 2014

20.4K

Related Experiment Videos

Last Updated: Jul 8, 2025

High-resolution In Vivo Manual Segmentation Protocol for Human Hippocampal Subfields Using 3T Magnetic Resonance Imaging
11:03

High-resolution In Vivo Manual Segmentation Protocol for Human Hippocampal Subfields Using 3T Magnetic Resonance Imaging

Published on: November 10, 2015

9.4K
Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images
06:48

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images

Published on: January 7, 2019

8.9K
A Comprehensive Protocol for Manual Segmentation of the Medial Temporal Lobe Structures
12:30

A Comprehensive Protocol for Manual Segmentation of the Medial Temporal Lobe Structures

Published on: July 2, 2014

20.4K

Area of Science:

  • Neuroimaging
  • Neuroanatomy
  • Medical Physics

Background:

  • Magnetic resonance imaging (MRI) advancements have driven progress in brain structure and function studies.
  • Reliability and validity of in vivo neuroanatomical measurements are essential for scientific advancement.
  • Quality control (QC) procedures are vital for mitigating errors and ensuring measurement integrity, yet guidance on best practices is limited.

Approach:

  • A survey was conducted among 37 international researchers studying hippocampal subfields in vivo to understand their views and QC approaches.
  • The survey captured perspectives across various career stages and research areas, including healthy and pathological development and aging.
  • Investigated the discrepancy between the perceived importance of QC and its reporting in prior publications.

Key Points:

  • 81% of surveyed researchers consider QC very or important for hippocampal subfield analysis.
  • Despite its importance, only 46% of researchers report their QC processes in publications, often due to lack of clear guidance.
  • Common MRI artifacts and challenges in defining small hippocampal subfield boundaries highlight the need for robust QC.

Conclusions:

  • Recommendations are provided for error correction, maximizing reliability, and minimizing bias in hippocampal subfield measurements.
  • Summarized threats to segmentation accuracy and reviewed common QC methods.
  • Implementing standardized QC practices and reporting guidelines will enhance the validity of neuroimaging research and its clinical implications.