tue-carotid: restructure the data card to the common layout

#56
Files changed (1) hide show
  1. tue-carotid/README.md +33 -42
tue-carotid/README.md CHANGED
@@ -1,4 +1,5 @@
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  ---
 
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  pretty_name: "TU/e carotid 2023"
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  license: cc-by-4.0
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  zea_repo_id: zeahub/zea-carotid-2023
@@ -19,23 +20,12 @@ language:
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  ![Longitudinal view of a carotid bifurcation](assets/5_long_bifur_R_0000.gif)
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- One cardiac cycle of a longitudinal bifurcation scan,
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- [`data/5_long_bifur_R_0000.hdf5`](https://huggingface.co/datasets/nvidia/OpenH-RF/blob/main/tue-carotid/data/5_long_bifur_R_0000.hdf5).
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- `zea` renders it straight from the Hub with the
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- `pipeline.yaml` in this folder. Try it out with the following command:
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-
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- ```bash
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- zea process \
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- --dataset hf://nvidia/OpenH-RF/tue-carotid/data/5_long_bifur_R_0000.hdf5 \
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- --config hf://nvidia/OpenH-RF/tue-carotid/pipeline.yaml
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- ```
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  ## Dataset Description
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- The dataset includes carotid artery scans from 10 subjects.
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- Each file includes 150 frames, at least one cardiac cycle.
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- The acquisition scheme it consists of 128 line scanning interleaved with 21 plane waves.
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  Included views:
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@@ -47,20 +37,18 @@ Included views:
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  - Longitudinal section 1cm from bifurcation
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  - Longitudinal section
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- The acquisitions were performed with a Verasonics 256.
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- The acquisitions were performed with a linear probe (Verasonics L11-5v).
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- The same operator performed all acquisitions.
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- ## Dataset Contributors(s)
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- Wessel van Nierop <w.l.v.nierop@tue.nl>,
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- Tristan Stevens,
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- Oisín Nolan,
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- Simon Penninga,
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- Beatrice Federici,
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- Vincent van der Schaft,
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- Ben Luijten,
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- Ruud van Sloun
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  ## Dataset Creation Date
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@@ -68,7 +56,7 @@ Nov 2023
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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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@@ -80,24 +68,36 @@ Image-quality / beamforming has both plane-wave (21) and focused acquisitions (1
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  - Labeling Method: acquisitions per view
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  - Acquisition system: see file
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  ## Dataset Format
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- zea v1.3.0
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  ## Dataset Quantification
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- **Current OpenH-RF release:** 80 HDF5 files; 435.40 GB (435,403,030,528 bytes) stored; root `zea_version` **0.1.6**. Sizes include all HDF5 contents and use decimal units (MB = 10^6 bytes, GB = 10^9 bytes, TB = 10^12 bytes), not decoded-array memory or original-source download sizes.
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- - **Samples / frames / acquisitions:** 80 acquisitions (one HDF5 file each) from
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- 10 subjects, 150 frames per acquisition — 12,000 frames total.
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  - **Transmit events per frame:** 149 — 128 focused lines interleaved with 21 plane waves.
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  - **Train / validation / test split:** none; each file is a single acquisition.
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  - **Total size on disk:** 435.40 GB (435,403,030,528 bytes).
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  ### Per-File Feature Summary
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- Every file has one track (`tracks/track_0`) with the same field structure;
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- `n_frames = 150`, `n_tx = 149`, `n_ax = 2176`, `n_el = 128`.
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  | Field | Shape | Dtype | Units | Description |
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  |---|---|---|---|---|
@@ -112,21 +112,12 @@ Every file has one track (`tracks/track_0`) with the same field structure;
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  | `tracks/track_0/scan/time_to_next_transmit` | `(150, 149)` | float32 | s | Per-frame, per-transmit inter-transmit interval |
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  | `probe/probe_geometry` | `(128, 3)` | float32 | m | Element positions (x, y, z) |
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- Scalars: `probe/name` = `verasonics_l11_5v` (linear, 128 elements),
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- `probe/probe_center_frequency` = 6.25 MHz, `scan/center_frequency` =
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- `scan/demodulation_frequency` = 7.8125 MHz, `scan/sampling_frequency` =
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- 31.25 MHz, `scan/sound_speed` = 1540 m/s. `us_machine` = Verasonics Vantage 256.
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- No derived data products are stored; `raw_data` is the only `data/` field.
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  ## Subject Metadata
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  None
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- ## Data Validation
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-
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- [reconstruct.py](https://github.com/open-h/OpenH-RF/blob/main/datasets/tue-carotid/reconstruct.py)
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- [pipeline.yaml](./pipeline.yaml)
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-
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  ## Known Issues
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  None
 
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  ---
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+ name: tue-carotid
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  pretty_name: "TU/e carotid 2023"
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  license: cc-by-4.0
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  zea_repo_id: zeahub/zea-carotid-2023
 
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  ![Longitudinal view of a carotid bifurcation](assets/5_long_bifur_R_0000.gif)
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+ *One cardiac cycle of a longitudinal bifurcation scan, [`data/5_long_bifur_R_0000.hdf5`](https://huggingface.co/datasets/nvidia/OpenH-RF/blob/main/tue-carotid/data/5_long_bifur_R_0000.hdf5).*
 
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  ## Dataset Description
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+ The dataset includes carotid artery scans from 10 subjects. Each file includes 150 frames, at least one cardiac cycle. The acquisition scheme it consists of 128 line scanning interleaved with 21 plane waves.
 
 
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  Included views:
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37
  - Longitudinal section 1cm from bifurcation
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  - Longitudinal section
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+ The acquisitions were performed with a Verasonics 256. The acquisitions were performed with a linear probe (Verasonics L11-5v). The same operator performed all acquisitions.
 
 
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+ ## Dataset Contributor(s)
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+ - Wessel van Nierop <w.l.v.nierop@tue.nl>
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+ - Tristan Stevens
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+ - Oisín Nolan
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+ - Simon Penninga
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+ - Beatrice Federici
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+ - Vincent van der Schaft
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+ - Ben Luijten
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+ - Ruud van Sloun
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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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  - Labeling Method: acquisitions per view
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  - Acquisition system: see file
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+ ## Processing the Dataset
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+
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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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+
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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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+
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+ ```bash
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+ zea process \
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+ --dataset hf://nvidia/OpenH-RF/tue-carotid/data/5_long_bifur_R_0000.hdf5 \
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+ --config hf://nvidia/OpenH-RF/tue-carotid/pipeline.yaml
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+ ```
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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-carotid/reconstruct.py) as provided in the [OpenH-RF GitHub repository](https://github.com/open-h/OpenH-RF).
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+
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  ## Dataset Format
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+ [zea v0.1.6](https://github.com/tue-bmd/zea)
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  ## Dataset Quantification
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+ **OpenH-RF release:** 80 HDF5 files; 435.40 GB (435,403,030,528 bytes) stored; root `zea_version` **0.1.6**. Sizes include all HDF5 contents and use decimal units (MB = 10^6 bytes, GB = 10^9 bytes, TB = 10^12 bytes), not decoded-array memory or original-source download sizes.
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+ - **Samples / frames / acquisitions:** 80 acquisitions (one HDF5 file each) from 10 subjects, 150 frames per acquisition — 12,000 frames total.
 
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  - **Transmit events per frame:** 149 — 128 focused lines interleaved with 21 plane waves.
95
  - **Train / validation / test split:** none; each file is a single acquisition.
96
  - **Total size on disk:** 435.40 GB (435,403,030,528 bytes).
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98
  ### Per-File Feature Summary
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+ Every file has one track (`tracks/track_0`) with the same field structure; `n_frames = 150`, `n_tx = 149`, `n_ax = 2176`, `n_el = 128`.
 
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  | Field | Shape | Dtype | Units | Description |
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  |---|---|---|---|---|
 
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  | `tracks/track_0/scan/time_to_next_transmit` | `(150, 149)` | float32 | s | Per-frame, per-transmit inter-transmit interval |
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  | `probe/probe_geometry` | `(128, 3)` | float32 | m | Element positions (x, y, z) |
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+ Scalars: `probe/name` = `verasonics_l11_5v` (linear, 128 elements), `probe/probe_center_frequency` = 6.25 MHz, `scan/center_frequency` = `scan/demodulation_frequency` = 7.8125 MHz, `scan/sampling_frequency` = 31.25 MHz, `scan/sound_speed` = 1540 m/s. `us_machine` = Verasonics Vantage 256. No derived data products are stored; `raw_data` is the only `data/` field.
 
 
 
 
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  ## Subject Metadata
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  None
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  ## Known Issues
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  None