{"id":43681,"date":"2023-11-20T03:45:21","date_gmt":"2023-11-20T09:45:21","guid":{"rendered":"https:\/\/stage.cancerimagingarchive.net\/collection\/dro-toolkit\/"},"modified":"2024-10-15T16:54:43","modified_gmt":"2024-10-15T21:54:43","slug":"dro-toolkit","status":"publish","type":"tcia_collection","link":"https:\/\/stage.cancerimagingarchive.net\/collection\/dro-toolkit\/","title":{"rendered":"DRO-TOOLKIT"},"featured_media":0,"template":"","class_list":["post-43681","tcia_collection","type-tcia_collection","status-publish"],"cancer_types":["Phantom"],"citations":[43671,43673,9225,43675],"collection_doi":"10.7937\/T062-8262","collection_download_info":"","collection_downloads":[43677,43679],"versions":false,"additional_resources":"The NCI Cancer Research Data Commons (CRDC) provides access to additional data and a cloud-based data science infrastructure that connects data sets with analytics tools to allow users to share, integrate, analyze, and visualize cancer research data.\r\n<ul>\r\n \t<li><a href=\"https:\/\/portal.imaging.datacommons.cancer.gov\/explore\/filters\/?collection_id=dro_toolkit\">Imaging Data Commons (IDC)<\/a> (Imaging Data)<\/li>\r\n<\/ul>\r\nThe following external resources have been made available by the data submitters.\u00a0 These are not hosted or supported by TCIA, but may be useful to researchers utilizing this collection.\r\n<ul>\r\n \t<li>Software toolkit for the creation of Digital Reference Objects: <a href=\"https:\/\/github.com\/riipl\/dro_cli\">https:\/\/github.com\/riipl\/dro_cli<\/a><\/li>\r\n<\/ul>","cancer_locations":["Phantom"],"collection_page_accessibility":"Public","publications_related":"No other publications by dataset authors were recommended.","version_change_log_archived":"<h3>Version 1 (Current): Updated 2020\/04\/09<\/h3><table><colgroup> <col \/> <col \/> <\/colgroup><tbody><tr><th>Data Type<\/th><th>Download all or Query\/Filter<\/th><\/tr><tr><td><p>Images and Segmentations (DICOM, 5.0 GB)<\/p><\/td><td><div><p>\u00a0 <a href=\"\/wp-content\/uploads\/DRO-Toolkit-April-2020-TCIA-manifest.tcia\" download=\"DRO-Toolkit-April-2020-TCIA-manifest.tcia\"><button><i><\/i> Download<\/button><\/a>\u00a0 <a href=\"https:\/\/nbia.cancerimagingarchive.net\/nbia-search\/?MinNumberOfStudiesCriteria=1&amp;CollectionCriteria=DRO-Toolkit\"><button><i><\/i> Search<\/button><\/a>\u00a0 \u00a0<\/p><p>(Requires\u00a0<a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/NBIA\/Downloading+TCIA+Images\">NBIA Data Retriever<\/a> .)<\/p><\/div><\/td><\/tr><tr><td>Images (NIfTI, zip)<\/td><td><div><p><a href=\"\/wp-content\/uploads\/Stanford-DRO-Toolkit-niftis.zip\" download=\"Stanford-DRO-Toolkit-niftis.zip\"><button><i><\/i> Download<\/button><\/a>\u00a0<\/p><\/div><\/td><\/tr><\/tbody><\/table>","collection_status":"Complete","publications_using":"TCIA maintains <a href=\"https:\/\/www.cancerimagingarchive.net\/publications\/\"> a list of publications<\/a> which leverage TCIA data. If you have a manuscript you'd like to add please <a href=\"http:\/\/www.cancerimagingarchive.net\/support\/\">contact TCIA's Helpdesk<\/a>.","related_analysis_results":[46081],"species":["Human"],"version_number":"1","collection_title":"Stanford DRO Toolkit: Digital Reference Objects for Standardization of Radiomic Features","date_updated":"2020-04-09","related_collection":false,"subjects":"32","analysis_results":"TCIA encourages the community to\u00a0<a href=\"http:\/\/www.cancerimagingarchive.net\/analysis-results\/\">publish your analyses of our datasets<\/a>.","collection_short_title":"DRO-Toolkit","data_types":["CT","SEG"],"version_change_log":"","collection_browse_title":"DRO-Toolkit","detailed_description":"","supporting_data":["Software\/Source Code"],"collection_featured_image":false,"collection_summary":"<p>This is a sample collection of synthetic 3D Digital Reference Objects (DROs) intended for standardization of quantitative imaging feature extraction pipelines. We have developed <a href=\"https:\/\/github.com\/riipl\/dro_cli\">a software toolkit<\/a> for the creation of DROs with customizable size, shape, intensity, texture, and margin sharpness values. Using user-supplied input parameters, these objects are defined mathematically as continuous functions, discretized, and then saved as DICOM objects. This collection includes objects with a range of values for the various feature categories and many combinations of these categories.<br \/><br \/><\/p>","collection_acknowledgements":"<p>We would like to acknowledge the individuals and institutions\u00a0that contributed to the development and creation of these digital reference objects:<\/p><ul><li>Stanford University School of Medicine, Stanford, California, USA - Akshay\u00a0 Jaggi \u00a0B.S.\u00a0and Sandy Napel PhD from the Department of Radiology<\/li><li>University of California, Los Angeles School of Medicine, Los Angeles, California, USA - Michael McNitt-Gray PhD from the Department of Radiology<\/li><li>The University of Western Ontario, Department of Medical Biophysics - Sarah Mattonen PhD<\/li><li>The National Cancer Institute Quantitative Imaging Network (QIN)<\/li><\/ul>","collection_funding":"","hide_from_browse_table":"0","program":["Community"],"_links":{"self":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/collections\/43681","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/collections"}],"about":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/types\/tcia_collection"}],"version-history":[{"count":1,"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/collections\/43681\/revisions"}],"predecessor-version":[{"id":49731,"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/collections\/43681\/revisions\/49731"}],"wp:attachment":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/media?parent=43681"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}