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PICMUS - Plane-Wave Imaging Challenge in Medical UltraSound

This dataset is a zea-format (HDF5) conversion of the PICMUS (IEEE IUS 2016) challenge data for evaluating plane-wave image reconstruction quality.

Property Value
Modality 2-D plane-wave ultrasound (IQ and RF)
Probe Verasonics Vantage + L11-4v (128 elements, 5.208 MHz)
Partitions Simulation, Experimental, In-vivo (carotid artery)
Data types IQ (complex) and RF (real) channel data
Splits simulation/, database/ (experimental), in_vivo/

Conversion

This dataset was downloaded, converted to zea format, and uploaded using the zea data converter:

python -m zea.data.convert picmus <src> <dst> --download

Dataset structure

simulation/
  contrast_speckle/
    contrast_speckle_simu_dataset_iq/
      contrast_speckle_simu_dataset_iq.hdf5
  ...
database/
  experiments/
    contrast_speckle/
      contrast_speckle_expe_dataset_iq/...
      contrast_speckle_expe_dataset_rf/...
    ...
in_vivo/
  carotid_long/
    carotid_long_expe_dataset_iq/...
  carotid_cross/
    ...

Each HDF5 file follows the zea data format and contains:

  • data/raw_data - channel data, shape (1, n_tx, n_ax, n_el, n_ch) where n_ch=1 for RF data and n_ch=2 (I/Q) for IQ data
  • scan/ - plane-wave acquisition parameters (angles, delays, geometry, …)
  • metadata/ - subject type and citation credit

License

The datasets and code provided on PICMUS are free of use. The only request is to refer properly to PICMUS - The Plane Wave Imaging Challenge in Medical UltraSound and quote the proceeding paper.

Citation

If you use this dataset, please cite:

@inproceedings{liebgott2016picmus,
  title     = {Plane-Wave Imaging Challenge in Medical Ultrasound},
  author    = {Liebgott, Herve and Rodriguez-Molares, Alfonso and
               Cervenansky, Frederic and D'hooge, Jan and Bernard, Olivier},
  booktitle = {2016 IEEE International Ultrasonics Symposium (IUS)},
  pages     = {1--4},
  year      = {2016},
  doi       = {10.1109/ULTSYM.2016.7728908}
}

Links

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