Skip to content

Relaxation-Diffusion MRI Dataset of Aging Mouse Brains (9.4T)

Latest
Latest

Choose a tag to compare

View all tags
@data-hcp data-hcp released this 27 Mar 15:21
smu-mouse
f9070c9
This commit was created on GitHub.com and signed with GitHub’s verified signature.
GPG key ID: B5690EEEBB952194
Verified
Learn about vigilant mode.

Multi-TE Diffusion MRI Across Lifespan

This dataset provides high-resolution relaxation-diffusion MRI (rdMRI) data of mouse brains across the lifespan, enabling the study of age-related microstructural changes using multi-echo diffusion imaging at ultra-high field strength.

Dataset Overview

  • Species: Mouse

  • Total subjects: 30

  • Age groups:

    • 2, 6, 12, 18, 24 months
    • (6 animals per group)

  • Scanner: 9.4 Tesla Bruker MRI

  • Purpose:

    • Characterize microstructural changes across aging
    • Study relaxation–diffusion interactions
    • Support advanced diffusion modeling (e.g., multi-TE analysis)

Imaging Protocol

Anatomical Imaging

  • Sequence: 2D TurboRARE (T2-weighted)
  • TR/TE: 3200 / 11 ms
  • Resolution: 0.08 × 0.08 mm²
  • Slice thickness: 0.5 mm

Diffusion MRI (Multi-TE)

  • Sequence: Multi-shot SE-EPI

  • TR: 3200 ms

  • Echo times (TEs):

    • 22, 37, 52, 67, 82 ms

  • b-values:

    • 500, 1000, 1500, 2500 s/mm²

  • Directions:

    • 30 per shell

  • b0 images:

    • 6

  • Resolution:

    • 0.1 × 0.1 mm²

  • Slice thickness:

    • 0.5 mm

Multi-TE Design

Each subject includes five diffusion sessions corresponding to different echo times:

  • ses-01 → TE = 22 ms
  • ses-02 → TE = 37 ms
  • ses-03 → TE = 52 ms
  • ses-04 → TE = 67 ms
  • ses-05 → TE = 82 ms

Additionally:

  • Reversed phase-encoding acquisitions provided for distortion correction

Data Structure

Each subject includes:

  1. Anatomical data

    • T2-weighted images (anat/)

  2. Diffusion data

    • Multi-TE DWI (dwi/)

  3. Reversed phase-encoding DWI

    • For susceptibility correction
  • Format: NIfTI (DICOM not included)

Processing and Code

  • Custom pipeline included

  • Scripts available for:

    • Diffusion preprocessing
    • Registration (MRtrix3, ANTs)
    • Tractography
    • NODDI modeling

  • Key components:

    • dwipreprocess_script.bash
    • MRtrix3_rigid_register_script.bash
    • ANTs_register_transform.bash
    • processing_DTI_FOD_tractography.bash
    • noddi_script_auto.py

  • REDIM method implementation included

Scientific Applications

This dataset enables:

  • Lifespan analysis of brain microstructure
  • Relaxation–diffusion modeling
  • Multi-TE diffusion analysis
  • Validation of advanced diffusion models (e.g., NODDI, FOD)
  • Aging-related connectomics studies

Data Quality and Ethics

  • All experiments approved by:

    • Institutional Animal Care and Use Committee
    • Southern Medical University

  • High-resolution acquisition at ultra-high field (9.4T)

Funding

  • Guangdong Basic and Applied Basic Research Foundation
  • National Natural Science Foundation of China

Contact

Assets 483
Loading