us4us: restructure the data card to the common layout

us4us/README.md

@@ -1,5 +1,6 @@
 ---
-pretty_name: "OpenH-RF — us4us Ring-Array USCT (forearm, breast phantom, water)"
+name: us4us
+pretty_name: "us4us Ring-Array USCT (forearm, breast phantom, water)"
 license: cc-by-4.0
 task_categories:
   - other
@@ -23,10 +24,7 @@ size_categories:
 
 ![Ring-array USCT reconstruction of a forearm cross-section](assets/s1_l_reconstruct.png)
 
-A left-forearm cross-section, slice 8 of
-[`data/s1_l.hdf5`](https://huggingface.co/datasets/nvidia/OpenH-RF/blob/main/us4us/data/s1_l.hdf5),
-reconstructed by [`reconstruct.py`](https://github.com/open-h/OpenH-RF/blob/main/datasets/us4us/reconstruct.py)
-beside the sinogram and reference image stored in the file.
+*A left-forearm cross-section, slice 8 of [`data/s1_l.hdf5`](https://huggingface.co/datasets/nvidia/OpenH-RF/blob/main/us4us/data/s1_l.hdf5), reconstructed beside the sinogram and reference image stored in the file.*
 
 ## Dataset Description
 Raw RF data acquired with the us4us Ltd. us4R system and a Draminski ring probe.
@@ -42,33 +40,33 @@ The forearm and phantom acquisitions comprise consecutive slices spaced 9 mm apa
 
 Each slice was recorded using 1024 subsequent single-element transmissions, and received by a 512-element aperture located opposite the transmitting element.
 
+## Dataset Contributor(s)
 
-## Dataset Contributors
-PI: Ziemowit Klimonda
-
-Team: Piotr Jarosik, Jakub Rozbicki, Piotr Karwat, Marcin Lewandowski (all @ us4us Ltd. (https://us4us.eu/))
-
+- Ziemowit Klimonda (PI)
+- Piotr Jarosik
+- Jakub Rozbicki
+- Piotr Karwat
+- Marcin Lewandowski
+- us4us Ltd. (https://us4us.eu/)
 
 ## Dataset Creation Date
 09/07/2026
 
+## License / Terms of Use
 
-## License
-CC BY 4.0
-
+[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.
 
 ## Intended Usage
 Ultrasound computed tomography image reconstruction.
 
-
 ## Dataset Characterization
   * Data Collection Method: phantom, healthy adult human volunteers.
   * Labeling Method: N/A.
-  * Acquisition system: 
+  * Acquisition system:
       - ring probe:
           - probe radius: 130mm,
-          - number of elements: 1024, 
-          - center frequency: 2MHz, 
+          - number of elements: 1024,
+          - center frequency: 2MHz,
           - sampling rate: 8125000.0,
       - us4R research system + host PC,
       - custom positioning system for subject spatial control.
@@ -79,10 +77,17 @@ Ultrasound computed tomography image reconstruction.
       - for each transmission, the center of the receiving aperture was positioned on the opposite side of the probe relative to the transmitting element,
       - for example, for the 0th transmission, the 0th probe element transmitted, and the receiving aperture consisted of probe elements 256–767.
 
+## Processing the Dataset
+
+The acquisitions can be processed with the `reconstruct.py` [script](https://github.com/open-h/OpenH-RF/blob/main/datasets/us4us/reconstruct.py) as provided in the [OpenH-RF GitHub repository](https://github.com/open-h/OpenH-RF), together with the `pipeline.yaml` definition in this folder and the [zea library](https://github.com/tue-bmd/zea). The script streams the data from the Hugging Face Hub.
+
+The script rebuilds the attenuation sinogram and filtered-backprojection image from `data/raw_data` and plots them beside the versions stored in the file. Set `ZEA_FILE` and `FRAME` (the slice) at the top of the script.
+
 ## Dataset Format
-All sub-datasets are provided in the ZEA file format.
-No preprocessing was performed on the raw channel data.
 
+[zea v0.1.6](https://github.com/tue-bmd/zea)
+
+All sub-datasets are provided in the ZEA file format. No preprocessing was performed on the raw channel data.
 
 ## Dataset Quantification
 
@@ -91,23 +96,19 @@ No preprocessing was performed on the raw channel data.
   * Each forearm HDF5 file contains 10 slices of the subject; `yezitronix-b-rg-1.2.hdf5` contains 11 and `reference_water.hdf5` a single slice.
   * Stored HDF5 file sizes vary: 1.89 GB to 1.95 GB excluding the water reference. `reference_water.hdf5` is 183,107,584 bytes (183.11 MB).
 
-
 ## Subject Metadata
 The dataset contains data from:
   * breast phantom Yezitronix B-RG-1.2,
   * both forearms of 8 healthy human volunteers (2 females and 6 males, age range [20, 55]),
   * water only (reference data).
 
-
 ## Data Validation
-  * The data files contain attenuation sinograms and images reconstructed from raw data using the filtered backprojection algorithm.
-  * [`reconstruct.py`](https://github.com/open-h/OpenH-RF/blob/main/datasets/us4us/reconstruct.py) rebuilds both from `data/raw_data` and plots them beside the stored versions. Set `ZEA_FILE` and `FRAME` at the top of the script and run `python reconstruct.py`.
 
+* The data files contain attenuation sinograms and images reconstructed from raw data using the filtered backprojection algorithm.
+  * `reconstruct.py` rebuilds both from `data/raw_data` and plots them beside the stored versions (see *Processing the Dataset*).
 
 ## Known Issues
   * The following probe elements should be considered damaged: [367, 409, 457, 764, 775, 776, 368, 390, 470, 739, 792].
 
-
 ## Ethical Considerations
   * All human subjects were healthy adults who voluntarily participated in the measurements.
-