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

作者： Julie Winterburn1,2, Jens C. Pruessner3, Chavez Sofia4,5, Mark M. Schira6,7, Nancy J. Lobaugh4,8, Aristotle N. Voineskos5,9, M. Mallar Chakravarty1,2 1Institute of Biomaterials and Biomedical Engineering,University of Toronto, 2Computational Brain Anatomy Laboratory, Douglas Institute,McGill University, 3McGill Centre for Studies in Aging,McGill University, 4MRI Unit, Research Imaging Centre, Campbell Family Mental Health Research Institute,Centre for Addiction and Mental Health, 5Department of Psychiatry,University of Toronto, 6School of Psychology,University of Wollongong, 7Neuroscience Research Australia, 8Department of Medicine,University of Toronto, 9Kimel Family Translational Imaging Genetics Research Laboratory, Research Imaging Centre, Campbell Family Mental Health Research Institute,Centre for Addiction and Mental Health

简介：

Overview

This manuscript presents a protocol for segmenting the human hippocampus and its subfields using MRI. It focuses on providing an anatomically accurate method tailored for high-resolution images.

Key Study Components

Area of Science

• Neuroimaging
• Hippocampal anatomy
• Magnetic resonance imaging

Background

• The hippocampus is crucial for memory and spatial navigation.
• Understanding its subfields can provide insights into neurological conditions.
• High-resolution imaging is essential for accurate segmentation.
• This study aims to enhance neuroimaging techniques for better analysis.

Purpose of Study

• To develop a reliable method for segmenting hippocampal subfields.
• To facilitate research on structural changes in healthy and diseased states.
• To provide definitions for subfields along the entire hippocampal length.

Methods Used

• Utilization of a three T MRI scanner for high-resolution imaging.
• Segmentation of the hippocampus into five subfields: CA1, CA2/CA3, CA4/dentate gyrus, strata radiatum/lacunosum/moleculare, and subiculum.
• Software interface for segmentation analysis.
• Command-line instructions for initiating the segmentation process.

Main Results

• The protocol allows for accurate segmentation of hippocampal subfields.
• It provides a framework for analyzing structural changes in various conditions.
• Results can enhance understanding of hippocampal function and pathology.
• High-resolution images improve the reliability of the findings.

Conclusions

• The developed protocol is a significant advancement in neuroimaging techniques.
• It can aid in research related to memory disorders and other neurological conditions.
• Future studies can build upon this method for further insights into hippocampal function.

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