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Related Experiment Video

Updated: May 8, 2026

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

Published on: November 10, 2015

Submillimeter Ultra-High Field 9.4 T Brain MR Image Collection and Manual Cortical Segmentations.

Lucas Mahler1, Julius Steiglechner2,3, Benjamin Bender4

  • 1Department High-field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tübingen, Germany. lucas.mahler@tue.mpg.de.

Scientific Data
|April 15, 2025
PubMed
Summary

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This summary is machine-generated.

The UltraCortex repository offers high-resolution 9.4 T magnetic resonance imaging (MRI) data and validated brain segmentations. This unique resource advances neuroimaging research beyond current limitations.

Area of Science:

  • Neuroimaging
  • Neuroanatomy
  • Biomedical Data Science

Background:

  • Existing neuroimaging repositories have limitations in magnetic field strength (typically ≤7 T).
  • Validated segmentations of brain structures are crucial for accurate analysis but often lacking.
  • High-field MRI offers enhanced anatomical detail and signal-to-noise ratio.

Purpose of the Study:

  • To introduce the UltraCortex repository, a novel resource for ultra-high field (9.4 T) human brain MRI data.
  • To provide researchers with access to high-resolution structural MR images and validated gray and white matter segmentations.
  • To address the gap in existing repositories for data beyond 7 T and with expert-validated segmentations.

Main Methods:

  • Acquisition of 86 structural magnetic resonance imaging (MRI) datasets at 9.4 T.

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Last Updated: May 8, 2026

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  • Spatial resolution of acquired images ranges from 0.6 to 0.8 mm.
  • Segmentation of 12 brains into gray and white matter compartments, validated by two expert neuroradiologists.
  • Main Results:

    • The UltraCortex repository contains 86 structural MR images at 9.4 T.
    • Includes validated segmentations for 12 human brains, serving as a gold standard.
    • Data resolution ranges from 0.6 to 0.8 mm, offering superior anatomical detail.

    Conclusions:

    • The UltraCortex repository is a significant advancement for neuroimaging research.
    • It provides unparalleled access to ultra-high field MRI data and reliable segmentations.
    • This resource will facilitate deeper understanding of human brain structure and function.