download_dicom_stack#

download_dicom_stack(load: bool = True) Union[UniformGrid, str][source]#

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, optional

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

Returns
pyvista.UniformGrid or str

DataSet or filename 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): 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)
../../../_images/pyvista-examples-downloads-download_dicom_stack-1_00_00.png