pyvista.examples.downloads.download_dicom_stack#

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

../../../_images/pyvista-examples-downloads-download_dicom_stack-1_00_00.png

Interactive Scene