README.md

metadata

annotations_creators:
  - machine-generated
language:
  - en
license: cc-by-4.0
multilinguality:
  - monolingual
pretty_name: OpenMind2D
size_categories:
  - 100K<n<1M
source_datasets:
  - AnonRes/OpenMind
task_categories:
  - image-classification
  - image-to-text
  - zero-shot-image-classification
task_ids:
  - multi-class-image-classification
  - image-captioning
  - visual-question-answering
tags:
  - medical
  - neuroimaging
  - brain
  - mri
  - 3d-to-2d
  - computer-vision
  - healthcare
paperswithcode_id: openmind
dataset_info:
  features:
    - name: image
      dtype: image
    - name: orientation
      dtype: string
    - name: volume_id
      dtype: int32
    - name: slice_id
      dtype: int32
    - name: slice_coord
      dtype: int32
    - name: split
      dtype: string
    - name: unique_id
      dtype: string
    - name: modality
      dtype: string
    - name: image_quality_score
      dtype: float32
    - name: age
      dtype: float32
    - name: sex
      dtype: string
    - name: health_status
      dtype: string
    - name: manufacturer
      dtype: string
    - name: magnetic_field_strength
      dtype: float32
    - name: repetition_time
      dtype: float32
    - name: echo_time
      dtype: float32
    - name: width
      dtype: int32
    - name: height
      dtype: int32
    - name: format
      dtype: string
    - name: file_size
      dtype: int32
  splits:
    - name: train
      num_bytes: 16787700000
      num_examples: 335754
  download_size: 11751390000
  dataset_size: 16787700000

OpenMind2D: 2D Brain MRI Slices

OpenMind2D is a 2D medical imaging dataset derived from the OpenMind dataset. It contains 335,754 2D slices extracted from 3D brain MRI volumes in three anatomical orientations (axial, sagittal, coronal).

Dataset Statistics

• Total Images: 335,754
• Resolution: 256×256 pixels
• Format: JPEG
• Size: ~11.7 GB
• Splits: Train (70%), Validation (20%), Test (10%)
• Orientations: Axial, sagittal, coronal
• Modalities: T1w, T2w, FLAIR, DWI, and 19+ additional MRI types

Source

This dataset is derived from the OpenMind dataset (Dufumier et al., 2024), which contains 114,000 3D brain MRI volumes from 800 OpenNeuro datasets.

Processing

1. Slice extraction from three anatomical orientations
2. Isotropic resampling to 1mm³ spacing
3. Intensity normalization (1st-99th percentile clipping)
4. Resize to 256×256 pixels
5. JPEG compression with metadata preservation

Dataset Structure

OpenMind2D/
├── metadata.parquet    # Primary metadata
├── train/             # All images
│   ├── 00000001_000.jpg
│   └── ...
└── README.md

Key Metadata Fields

• image: 256×256 JPEG brain MRI slice
• orientation: axial, sagittal, or coronal
• volume_id: Volume identifier
• unique_id: Original OpenMind volume ID
• modality: MRI sequence type
• split: train/validation/test
• age: Subject age
• sex: Subject sex
• manufacturer: Scanner manufacturer

Usage

from datasets import load_dataset

# Load dataset
dataset = load_dataset("liamchalcroft/OpenMind2D")
train_data = dataset['train']

# Get sample
sample = train_data[0]
image = sample['image']
orientation = sample['orientation']
modality = sample['modality']

# Filter by modality or orientation
t1_data = dataset.filter(lambda x: x['modality'] == 'T1w')
axial_data = dataset.filter(lambda x: x['orientation'] == 'axial')

Citation

If you use this dataset, please cite the original OpenMind work:

@article{dufumier2024openmind,
  title = {OpenMind: A Large-Scale Dataset for Self-Supervised Learning in Medical Imaging},
  author = {Dufumier, Basile and others},
  journal = {arXiv preprint arXiv:2412.17041},
  year = {2024},
  url = {https://arxiv.org/abs/2412.17041}
}

License

This dataset is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0), consistent with the original OpenMind dataset.