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Download us4us/README.md from nvidia/Open-H-RF: direct link, hf CLI and curl.
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4.98 kB
| name: us4us | |
| pretty_name: "us4us Ring-Array USCT (forearm, breast phantom, water)" | |
| license: cc-by-4.0 | |
| task_categories: | |
| - other | |
| tags: | |
| - ultrasound | |
| - rf | |
| - open-h-rf | |
| - zea | |
| - usct | |
| - tomography | |
| - ring-array | |
| - attenuation | |
| - forearm | |
| language: | |
| - en | |
| size_categories: | |
| - n<1K | |
| # us4us Ring-Array USCT | |
|  | |
| *A left-forearm cross-section, slice 8 of [`data/s1_l.hdf5`](https://huggingface.co/datasets/nvidia/Open-H-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. | |
| Intended for ultrasound tomographic reconstruction. | |
| Acquisitions were performed on: | |
| - the left and right human forearms of 8 healthy volunteers, | |
| - a Yezitronix B-RG-1.2 breast phantom, | |
| - a single reference slice from water only. | |
| The forearm and phantom acquisitions comprise consecutive slices spaced 9 mm apart in depth (half of the probe elevation). | |
| 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) | |
| - 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 | |
| [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: | |
| - ring probe: | |
| - probe radius: 130mm, | |
| - number of elements: 1024, | |
| - center frequency: 2MHz, | |
| - sampling rate: 8125000.0, | |
| - us4R research system + host PC, | |
| - custom positioning system for subject spatial control. | |
| * Tx/Rx scheme: | |
| - the scheme consisted of 1024 transmit-receive events, | |
| - each event consisted of a single probe element transmitting a short pulse (1 period at 2 MHz excitation), while 512 probe elements were used for reception, | |
| - the 1024 transmit events were performed sequentially, with each probe element transmitting once, | |
| - 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/Open-H-RF/blob/main/datasets/us4us/reconstruct.py) as provided in the [Open-H-RF GitHub repository](https://github.com/open-h/Open-H-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 | |
| [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 | |
| **Current Open-H-RF release:** 18 HDF5 files; 32.66 GB (32,658,423,808 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. | |
| * 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` 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. | |