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Related Experiment Video

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Deep Learning-Based Segmentation to Establish East Asian Normative Volumes Using Multisite Structural MRI.

Regina E Y Kim1,2,3, Minho Lee1, Dong Woo Kang4

  • 1Research Institute, NEUROPHET Inc., Seoul 06247, Korea.

Diagnostics (Basel, Switzerland)
|December 30, 2020
PubMed
Summary

Establishing East Asian brain magnetic resonance imaging (MRI) norms using multi-site data provides a reliable reference for neurodegenerative and aging research, outperforming existing tools.

Keywords:
MRI normativeagingdeep-learningmulticentervolumetry

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Area of Science:

  • Neuroimaging
  • Radiology
  • Biostatistics

Background:

  • Normative brain magnetic resonance imaging (MRI) is crucial for assessing brain health.
  • Establishing comprehensive brain MRI norms is challenging due to cost and limited age range coverage in previous studies.

Purpose of the Study:

  • To establish robust East Asian normative brain MRI data across a wide age range (18-96 years).
  • To evaluate the reliability and consistency of the developed normative data for clinical research applications.

Main Methods:

  • Collected multi-site MRI data from cognitively normal East Asian populations.
  • Utilized an in-house deep learning tool for extracting eight sub-regional brain volumes.
  • Assessed consistency and reliability using intraclass correlation coefficients, comparing with FreeSurfer.

Main Results:

  • Demonstrated high consistency and reliability of the normative MRI data across multiple sites.
  • The developed method surpassed FreeSurfer in repeated measure consistency and multicenter reliability.
  • The normative MRI data successfully identified sub-regional differences in mild cognitive impairment and dementia.

Conclusions:

  • The constructed East Asian normative MRI dataset offers a sound reference for neurodegenerative and aging research.
  • The deep learning-based approach provides a reliable and robust method for normative brain data generation.
  • This study facilitates more accurate clinical interpretations of brain health in East Asian populations.