README.md

---
license: cc-by-nc-sa-4.0
tags:
  - medical-imaging
  - echocardiography
  - 3d-ultrasound
  - cardiac
  - segmentation
task_categories:
  - image-segmentation
pretty_name: "CETUS - 3D Echocardiography"
size_categories:
  - n<1K
---

# CETUS — Cardiac Echo Training and Ultrasound Segmentation

## Description

The CETUS dataset contains **45 patients** of real 3D echocardiography volumes
acquired at two cardiac phases:

- **End-Diastole (ED)** — `patientXX_ED.nii.gz`
- **End-Systole (ES)** — `patientXX_ES.nii.gz`

Ground-truth left-ventricular segmentation masks are provided as
`patientXX_ED_gt.nii.gz` and `patientXX_ES_gt.nii.gz`.

## File Structure

```
dataset/
  patient01/
    patient01_ED.nii.gz
    patient01_ED_gt.nii.gz
    patient01_ES.nii.gz
    patient01_ES_gt.nii.gz
  patient02/
    ...
  ...
  patient45/
    ...
  LICENSE_TERMS.md
  MANDATORY_CITATION.md
jupyter/
  script_cetus.ipynb
  LICENSE_TERMS.md
  MANDATORY_CITATION.md
Resources.zip
```

## Format

- **Volume format**: NIfTI (`.nii.gz`)
- **Typical shape**: varies per patient (see metadata in NIfTI headers)

## Usage

```python
import SimpleITK as sitk

img = sitk.ReadImage("dataset/patient01/patient01_ED.nii.gz")
volume = sitk.GetArrayFromImage(img)  # shape: (Z, Y, X)
print(f"Shape: {volume.shape}, dtype: {volume.dtype}")
```

## Source

Original dataset page: <https://www.creatis.insa-lyon.fr/Challenge/CETUS/databases.html>

## License

CC BY-NC-SA 4.0 — free for **non-commercial scientific research** only.