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Updated: Dec 5, 2025

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

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

Published on: November 10, 2015

Testing a convolutional neural network-based hippocampal segmentation method in a stroke population.

Artemis Zavaliangos-Petropulu^1,2, Meral A Tubi², Elizabeth Haddad²

¹Neural Plasticity and Neurorehabilitation Laboratory, University of Southern California, Los Angeles, California, USA.

Human Brain Mapping

|October 17, 2020

Summary

This summary is machine-generated.

Hippodeep, a new AI method, offers superior quality control for hippocampal segmentation in stroke patients compared to FreeSurfer. Both methods show good accuracy, but Hippodeep may better handle stroke-related brain abnormalities in dementia research.

Keywords:

MRI convolutional neural network hippocampus image segmentation lesion stroke

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Last Updated: Dec 5, 2025

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Published on: November 10, 2015

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Area of Science:

Neuroimaging
Artificial Intelligence
Neurology

Background:

Poststroke dementia (PSD) impacts stroke survivor quality of life.
Hippocampal volume is a potential neuroimaging biomarker for PSD.
Automated hippocampal segmentation is crucial for large-scale studies.

Purpose of the Study:

To compare the quality control and accuracy of Hippodeep and FreeSurfer for hippocampal segmentation in stroke MRIs.
To evaluate the suitability of automated methods for stroke populations with potential structural abnormalities.

Main Methods:

Compared Hippodeep and FreeSurfer 6.0 (whole hippocampus and sum of subfields) on stroke MRIs.
Quality control via stringent visual inspection of segmentations.
Accuracy measured by volumetric correlation with manual segmentations.

Main Results:

Hippodeep demonstrated significantly better quality control than both FreeSurfer methods.
All methods showed good volumetric correlation with manual segmentations.
No significant difference in accuracy (correlation) between the three methods.

Conclusions:

Hippodeep and FreeSurfer are potentially useful for hippocampal segmentation in stroke research.
Hippodeep may offer greater robustness to stroke-induced anatomical changes.
Further research can leverage these tools for poststroke dementia studies.