UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

A (sub)field guide to quality control in hippocampal subfield segmentation on high-resolution T2-weighted MRI

Canada, Kelsey L; Mazloum-Farzaghi, Negar; Rådman, Gustaf; Adams, Jenna N; Bakker, Arnold; Baumeister, Hannah; Berron, David; ... Daugherty, Ana M; + view all (2024) A (sub)field guide to quality control in hippocampal subfield segmentation on high-resolution T2-weighted MRI. Human Brain Mapping , 45 (15) , Article e70004. 10.1002/hbm.70004. Green open access

[thumbnail of Canada,HumanBrainMapping2024.pdf]
Preview
PDF
Canada,HumanBrainMapping2024.pdf - Published Version

Download (18MB) | Preview

Abstract

Inquiries into properties of brain structure and function have progressed due to developments in magnetic resonance imaging (MRI). To sustain progress in investigating and quantifying neuroanatomical details in vivo, the reliability and validity of brain measurements are paramount. Quality control (QC) is a set of procedures for mitigating errors and ensuring the validity and reliability of brain measurements. Despite its importance, there is little guidance on best QC practices and reporting procedures. The study of hippocampal subfields in vivo is a critical case for QC because of their small size, inter-dependent boundary definitions, and common artifacts in the MRI data used for subfield measurements. We addressed this gap by surveying the broader scientific community studying hippocampal subfields on their views and approaches to QC. We received responses from 37 investigators spanning 10 countries, covering different career stages, and studying both healthy and pathological development and aging. In this sample, 81% of researchers considered QC to be very important or important, and 19% viewed it as fairly important. Despite this, only 46% of researchers reported on their QC processes in prior publications. In many instances, lack of reporting appeared due to ambiguous guidance on relevant details and guidance for reporting, rather than absence of QC. Here, we provide recommendations for correcting errors to maximize reliability and minimize bias. We also summarize threats to segmentation accuracy, review common QC methods, and make recommendations for best practices and reporting in publications. Implementing the recommended QC practices will collectively improve inferences to the larger population, as well as have implications for clinical practice and public health.

Type: Article
Title: A (sub)field guide to quality control in hippocampal subfield segmentation on high-resolution T2-weighted MRI
Open access status: An open access version is available from UCL Discovery
DOI: 10.1002/hbm.70004
Publisher version: https://doi.org/10.1002/hbm.70004
Language: English
Additional information: This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. See: http://creativecommons.org/licenses/by-nc-nd/4.0/
Keywords: Best practices, hippocampal subfields, MRI, quality control, segmentation
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
URI: https://discovery.ucl.ac.uk/id/eprint/10198977
Downloads since deposit
Loading...
8Downloads
Download activity - last month
Loading...
Download activity - last 12 months
Loading...
Downloads by country - last 12 months
1.France
4
2.United Kingdom
1
3.Finland
1
4.Canada
1
5.United States
1

Archive Staff Only

View Item View Item