pyvista.examples.downloads.download_dicom_stack

download_dicom_stack(load: bool = True) → ImageData | str

Download TCIA DICOM stack volume.

Original download from the The Cancer Imaging Archive (TCIA). This is part of the Clinical Proteomic Tumor Analysis Consortium Sarcomas (CPTAC-SAR) collection.

Parameters:

loadbool, default: True

Load the dataset after downloading it when True. Set this to False and only the filename will be returned.

Returns:

pyvista.ImageData | str

DataSet or path depending on load.

References

• Data Citation

  National Cancer Institute Clinical Proteomic Tumor Analysis Consortium (CPTAC). (2018). Radiology Data from the Clinical Proteomic Tumor Analysis Consortium Sarcomas [CPTAC-SAR] collection [Data set]. The Cancer Imaging Archive. DOI: 10.7937/TCIA.2019.9bt23r95

• Acknowledgement

  Data used in this publication were generated by the National Cancer Institute Clinical Proteomic Tumor Analysis Consortium (CPTAC).

• TCIA Citation

  Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): # pragma: no cover Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. doi: 10.1007/s10278-013-9622-7

Examples

>>> from pyvista import examples
>>> dataset = examples.download_dicom_stack()
>>> dataset.plot(volume=True, zoom=3, show_scalar_bar=False)

Static Scene

Interactive Scene

See also

Dicom Stack Dataset

See this dataset in the Dataset Gallery for more info.

Medical Datasets

Browse other medical datasets.