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metadata
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

Ring-array USCT reconstruction of a forearm cross-section

A left-forearm cross-section, slice 8 of 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). 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 as provided in the Open-H-RF GitHub repository, together with the pipeline.yaml definition in this folder and the zea library. 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

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.