| --- |
| license: cc-by-nc-sa-4.0 |
| zea_repo_id: zeahub/camus |
| task_categories: |
| - image-segmentation |
| tags: |
| - ultrasound |
| - echocardiography |
| - 2d |
| - cardiac |
| - medical |
| pretty_name: "CAMUS: Cardiac Acquisitions for Multi-structure Ultrasound Segmentation" |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # CAMUS - 2-D Echocardiographic Ultrasound Dataset |
|
|
| This dataset is a **zea-format** (HDF5) conversion of the |
| [CAMUS](https://humanheart-project.creatis.insa-lyon.fr/database/#collection/6373703d73e9f0047faa1bc8) |
| dataset for multi-structure segmentation in 2-D echocardiography. |
|
|
| | Property | Value | |
| |---|---| |
| | **Modality** | 2-D transthoracic echocardiography | |
| | **Patients** | 500 | |
| | **Views** | 2-chamber (2CH) and 4-chamber (4CH) apical | |
| | **Splits** | train (1-400), val (401-450), test (451-500) | |
|
|
| ## Conversion |
|
|
| This dataset was downloaded, converted to zea format, and uploaded using the |
| [zea](https://github.com/tue-bmd/zea) data converter: |
|
|
| ```bash |
| zea convert camus <src> <dst> --download |
| ``` |
|
|
| ## Dataset structure |
|
|
| ``` |
| train/ |
| patient0001/ |
| patient0001_2CH_half_sequence.hdf5 |
| patient0001_4CH_half_sequence.hdf5 |
| ... |
| val/ |
| patient0401/ ... |
| test/ |
| patient0451/ ... |
| ``` |
|
|
| Each HDF5 file follows the [zea data format](https://github.com/tue-bmd/zea) and contains: |
|
|
| - `data/image/values` — scan-converted B-mode sequence in dB, shape |
| `(n_frames, H, W)`, float32; x=0 at apex centre |
| - `data/image/coordinates` — per-pixel Cartesian positions in metres, |
| shape `(H, W, 3)` [x, y=0, z] |
| - `data/image_polar/values` — polar-resampled B-mode sequence, |
| shape `(n_frames, n_r, n_theta)`, float32 |
| - `data/image_polar/coordinates` — Cartesian [x, 0, z] positions of polar |
| pixels in metres, shape `(n_r, n_theta, 3)` |
| - `data/segmentation/values` — multi-label bool segmentation, shape `(n_frames, H, W, 4)` |
| - `data/segmentation/labels` — `["unannotated", "LV_endo", "LV_myo", "LA"]`; |
| unannotated frames have only the first channel set |
| - `data/segmentation/coordinates` — same grid as `image/coordinates` |
| - `metadata/subject` — patient ID, sex, age |
| - `metadata/credit` — full citation string |
| - `metadata/text_report` — ejection fraction, frame rate, image quality |
| - `metadata/annotations/view` — `"2CH"` or `"4CH"` repeated for all frames |
| - `metadata/annotations/label` — `"ED"` / `"ES"` for the corresponding frames, `""` otherwise |
| - `metadata/annotations/image_quality` — `"Good"` / `"Medium"` / `"Poor"` |
|
|
| ## License |
|
|
| CC BY-NC-SA 4.0 (https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode) |
|
|
| The CAMUS dataset is available free of charge strictly for **non-commercial |
| scientific research purposes only**. |
|
|
| ## Citation |
|
|
| If you use this dataset, please cite: |
|
|
| ```bibtex |
| @article{leclerc2019deep, |
| title = {Deep Learning for Segmentation Using an Open Large-Scale Dataset in |
| 2D Echocardiography}, |
| author = {Leclerc, Sarah and Smistad, Erik and Pedrosa, Joao and Ostvik, Andreas and |
| Cervenansky, Frederic and Espinosa, Florian and Espeland, Torvald and |
| Berg, Erik Andreas Rye and Jodoin, Pierre-Marc and Grenier, Thomas and |
| Lartizien, Carole and D'hooge, Jan and Lovstakken, Lasse and |
| Bernard, Olivier}, |
| journal = {IEEE Transactions on Medical Imaging}, |
| volume = {38}, |
| number = {9}, |
| pages = {2198--2210}, |
| year = {2019}, |
| doi = {10.1109/TMI.2019.2900516} |
| } |
| ``` |
|
|
| ## Links |
|
|
| - **Original dataset**: <https://humanheart-project.creatis.insa-lyon.fr/database/#collection/6373703d73e9f0047faa1bc8> |
| - **zea toolkit**: <https://github.com/tue-bmd/zea> |
|
|
