Datasets:

zeahub
/

picmus

Error code:   StreamingRowsError
Exception:    IndexError
Message:      tuple index out of range
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 478, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 80, in _generate_tables
                  num_rows = _check_dataset_lengths(h5, self.info.features)
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 353, in _check_dataset_lengths
                  num_rows = h5_obj[first_path].shape[0]
                             ~~~~~~~~~~~~~~~~~~~~~~~~^^^
              IndexError: tuple index out of range

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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}
}

PICMUS - Plane-Wave Imaging Challenge in Medical UltraSound

Conversion

Dataset structure

License

Citation

Links