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ACOUSLIC-AI Dataset

Dataset Description

ACOUSLIC-AI (Abdominal Circumference Operator-agnostic UltraSound measurement in Low-Income Countries) is a dataset for the MICCAI 2024 challenge focused on fetal abdominal circumference measurement from ultrasound images.

Dataset Summary

Source: Zenodo
Challenge: ACOUSLIC-AI Grand Challenge
Version: 1.1
License: CC-BY-NC-SA 4.0

Supported Tasks

Fetal abdomen segmentation
Abdominal circumference measurement
Ultrasound image analysis

Dataset Structure

.
├── images/
│   └── stacked_fetal_ultrasound/
│       └── *.mha (300 files, ~335MB each)
├── masks/
│   └── stacked_fetal_abdomen/
│       └── *.mha (300 files, ~335MB each)
└── circumferences/
    └── fetal_abdominal_circumferences_per_sweep.csv

Data Fields

Images (.mha): - 3D volumetric ultrasound stacks - Format: MetaImage (.mha) - Each file: ~335MB

Masks (.mha): - Segmentation masks with pixel values: - 0: Background - 1: Optimal plane (fetal abdomen) - 2: Suboptimal plane

Circumferences (CSV): - uuid: Unique identifier matching image/mask filenames - subject_id: Subject identifier - sweep_1_ac_mm to sweep_6_ac_mm: Abdominal circumference measurements in mm

Dataset Statistics

Type	Count	Format	Size
Images	300	.mha	~335MB each
Masks	300	.mha	~335MB each
CSV	1	.csv	24KB

Total size: ~200GB

Usage

from huggingface_hub import snapshot_download
import SimpleITK as sitk

# Download dataset
local_dir = snapshot_download(
    repo_id="Angelou0516/ACOUSLIC-AI",
    repo_type="dataset"
)

# Load an image
image_path = f"{local_dir}/images/stacked_fetal_ultrasound/0199616b-bdeb-4119-97a3-a5a3571bd641.mha"
image = sitk.ReadImage(image_path)
array = sitk.GetArrayFromImage(image)  # (D, H, W) numpy array

# Load corresponding mask
mask_path = f"{local_dir}/masks/stacked_fetal_abdomen/0199616b-bdeb-4119-97a3-a5a3571bd641.mha"
mask = sitk.ReadImage(mask_path)
mask_array = sitk.GetArrayFromImage(mask)

Citation

If you use this dataset, please cite the original source:

@misc{acouslic_ai_2024,
  title={ACOUSLIC-AI: Abdominal Circumference Operator-agnostic UltraSound measurement in Low-Income Countries},
  year={2024},
  publisher={Zenodo},
  doi={10.5281/zenodo.12697994},
  url={https://zenodo.org/records/12697994}
}

License

This dataset is licensed under CC-BY-NC-SA 4.0.

Acknowledgements

This dataset was created for the MICCAI 2024 ACOUSLIC-AI Challenge.

🗂️ MedOtter/ACOUSLIC-AI