tue-aaa: restructure the data card to the common layout
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tue-aaa/README.md
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license: cc-by-4.0
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task_categories:
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- image-to-image
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# Abdominal Aortic Aneurysm (AAA)
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Cine loop of [`AAA_subject11.hdf5`](https://huggingface.co/datasets/nvidia/OpenH-RF/blob/main/tue-aaa/data/AAA_subject11.hdf5),
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reconstructed from the raw channel data. `zea` renders the whole acquisition straight
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from the Hub:
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```bash
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zea process \
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--dataset hf://nvidia/OpenH-RF/tue-aaa/data/AAA_subject11.hdf5 \
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--config hf://nvidia/OpenH-RF/tue-aaa/pipeline.yaml \
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```
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## Dataset Description
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## Dataset Contributor(s)
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Department of Biomedical Engineering
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Eindhoven University of Technology
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contact: Hans-Martin Schwab (h.schwab@tue.nl)
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## Dataset Creation Date
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## License / Terms of Use
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CC BY 4.0.
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## Intended Usage
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Advanced beamforming
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Motion estimation
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## Dataset Characterization
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- **Acquisition system:** Verasonics Vantage, C5-2v curved array, 128 elements, center frequency 3.6 MHz
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- **Transmit sequence:** 15 steered diverging waves (polar angles −12° … +12°)
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## Dataset Format
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zea file format. Subject metadata is stored under `metadata/subject` (`age`, `sex`, `bmi`); attribution under `metadata/credit`.
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## Dataset Quantification
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name: tue-aaa
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pretty_name: "TU/e PULS/e — Abdominal Aortic Aneurysm (C5-2v) channel data"
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license: cc-by-4.0
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task_categories:
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- image-to-image
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# TU/e Abdominal Aortic Aneurysm (AAA) Curved-Array Channel Data
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*Cine loop of [`data/AAA_subject11.hdf5`](https://huggingface.co/datasets/nvidia/OpenH-RF/blob/main/tue-aaa/data/AAA_subject11.hdf5), reconstructed from the raw channel data.*
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## Dataset Description
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## Dataset Contributor(s)
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- Hans-Martin Schwab <h.schwab@tue.nl> (contact)
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- PULS/e group, Department of Biomedical Engineering, Eindhoven University of Technology
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## Dataset Creation Date
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## License / Terms of Use
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[Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/legalcode.en). Retain attribution and identify modifications when reusing the data.
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## Intended Usage
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- Advanced beamforming
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- Motion estimation
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## Dataset Characterization
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- **Acquisition system:** Verasonics Vantage, C5-2v curved array, 128 elements, center frequency 3.6 MHz
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- **Transmit sequence:** 15 steered diverging waves (polar angles −12° … +12°)
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## Processing the Dataset
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The acquisitions can be processed with the `pipeline.yaml` definition in this folder and the [zea library](https://github.com/tue-bmd/zea).
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`zea` streams the data from the Hugging Face Hub and processes it according to the pipeline. You can try it out with the following command:
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```bash
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zea process \
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--dataset hf://nvidia/OpenH-RF/tue-aaa/data/AAA_subject11.hdf5 \
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--config hf://nvidia/OpenH-RF/tue-aaa/pipeline.yaml
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```
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Alternatively, you can use the `reconstruct.py` [script](https://github.com/open-h/OpenH-RF/blob/main/datasets/tue-aaa/reconstruct.py) as provided in the [OpenH-RF GitHub repository](https://github.com/open-h/OpenH-RF).
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## Dataset Format
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[zea v0.1.4](https://github.com/tue-bmd/zea)
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zea file format. Subject metadata is stored under `metadata/subject` (`age`, `sex`, `bmi`); attribution under `metadata/credit`.
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## Dataset Quantification
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