---
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
dataset_info:
  features:
  - name: image
    dtype: image
  - name: line
    dtype: string
  - name: rad_score
    dtype: string
  - name: session
    dtype: int64
  splits:
  - name: train
    num_bytes: 68961229.076
    num_examples: 1476
  - name: test
    num_bytes: 68472028.992
    num_examples: 1674
  download_size: 137564710
  dataset_size: 137433258.06800002
---
# Dataset Card for mri-sym2

### Dataset Summary

SymBrain, an annotated dataset of brain MRI images designed to advance the field of brain symmetry detection and segmentation. 
Our dataset comprises a diverse collection of brain MRI T1w and T2w scans from the [dHCP](https://biomedia.github.io/dHCP-release-notes/download.html) dataset.
Each annotated to highlight the ideal **straight** mid-sagittal plane (MSP), demarcating the brain into two symmetrical hemispheres. 
The accurate extraction of the MSP has the potential to greatly enhance segmentation precision. 

Researchers and practitioners can utilize this dataset to devise innovative methods for enhanced brain MRI image segmentation. 
SymBrain's rich and extensive content empowers the research community to address complex challenges in neuroimaging analysis, 
ultimately contributing to advancements in medical diagnostics and treatment planning.

Symmetry analysis plays an important role in medical image processing, particularly in the detection of diseases and malformations. 
SymBrain leverages the inherent bilateral symmetry observed in brain MRI images, 
making it an invaluable resource for the development and evaluation 
of automated algorithms aimed at detecting the symmetry axis within brain MRI data. 


## Dataset Structure

The dataset contains 1476 T1w images types and 1674 T2w images. 
The differences between the modalities lie in the intensity variations of the different brain areas. 
All the images are accessible in the 'train' part of the dataset. 


## Dataset Creation

### Loading the data

The dataset contains a 'train' split of 1476 rows, containing the t1 type images, and a 'test' split of 1674 rows, with the t2 type images.  

```python
dataset = load_dataset("agucci/mri-sym2")
# first dataset example selection:
dataset['train'][0]
```

**Attributes :**
- *image:* PIL image, shape (290, 290)
- *line:* Straight line annotation coordinates on the image. ({'x':x1, 'y':y1}, {'x':x2, 'y':y2}).  Where (x1,y1), (x2,y2) are the starting and end points of the line.  
- *radscore:* Radiology score of the volume the image was extracted from. Please refer to [dHCP doc](https://biomedia.github.io/dHCP-release-notes/download.html#metadata) for scores explanation.  
- *session:* Session-ID of the original dataset, used for scan retrieval.  

### Source Data


[dHCP](https://biomedia.github.io/dHCP-release-notes/download.html) dataset.  
Three slices have been extracted from each of the 1050 3D volumes, creating 3150 images.

### Annotations

The authors did Annotations manually with the [V7lab tools](https://www.v7labs.com/).

### Licensing Information

mit

### Citation Information

When using the data please cite : 

**authors papers coming soon** 

and 

**dhcp dataset**
Data were provided by the developing Human Connectome Project, KCL-Imperial-
Oxford Consortium funded by the European Research Council under the Eu-
ropean Union Seventh Framework Programme (FP/2007-2013) / ERC Grant
Agreement no. [319456]. We are grateful to the families who generously sup-
ported this trial.