{"id":5624,"date":"2023-09-04T03:13:27","date_gmt":"2023-09-04T03:13:27","guid":{"rendered":"https:\/\/cm.vastapps.dev\/tcia-collection\/lung-phantom\/"},"modified":"2023-09-13T12:00:20","modified_gmt":"2023-09-13T12:00:20","slug":"lung-phantom","status":"publish","type":"tcia_collection","link":"https:\/\/cm.vastapps.dev\/tcia-collection\/lung-phantom\/","title":{"rendered":"LUNG-PHANTOM"},"featured_media":0,"template":"","citation-tax":[],"cancer_types":["Phantom"],"citations":[4524,2925],"collection_doi":"10.7937\/k9\/tcia.2015.08a1ixoo","collection_download_info":"Click the Versions tab for more info about data releases.","collection_downloads":[5114,5115],"full_export":"<h2 id=\"LungPhantom-Summary\">Summary<\/h2>The <a href=\"https:\/\/wiki.cancerimagingarchive.net\/pages\/viewpage.action?pageId=3997704\">FDA anthropomorphic thorax phantom<\/a> with 12 phantom lesions of different sizes (10 and 20 mm in effective diameter), shapes (spherical, elliptical, lobulated, and spiculated), and densities (\u2212630,\u221210, and +100 HU) was scanned at Columbia University Medical Center on a 64-detector row scanner (LightSpeed VCT, GE Healthcare, Milwaukee, WI). The CT scanning parameters were 120 kVp, 100 mAs, 64x0.625 collimation, and pitch of 1.375. The images were reconstructed with the lung kernel using 1.25 mm slice thickness.<p>This data set was provided to TCIA for use in the National Cancer Institute's Quantiatitive Imaging Network (<a href=\"https:\/\/wiki.cancerimagingarchive.net\/pages\/viewpage.action?pageId=19038560\">QIN) Lung CT Segmentation Challenge<\/a>. \u00a0A\u00a0<a href=\"https:\/\/wiki.cancerimagingarchive.net\/pages\/viewpage.action?pageId=20644453\">TCIA Analysis Result dataset<\/a> was created to enable easy re-use of the complete multi-site challenge data set.<\/p><h4 id=\"LungPhantom-AbouttheNCIQIN\">About the NCI QIN<\/h4><p>The mission of the QIN is to improve the role of quantitative imaging for clinical decision making in oncology by developing and validating data acquisition, analysis methods, and tools to tailor treatment for individual patients and predict or monitor the response to drug or radiation therapy. More information is available on the <a href=\"https:\/\/wiki.cancerimagingarchive.net\/pages\/viewpage.action?pageId=3277251\">Quantitative Imaging Network Collections<\/a> page. Interested investigators can apply to the QIN at: <a href=\"http:\/\/imaging.cancer.gov\/programsandresources\/SpecializedInitiatives\/qin\" class=\"external-link\" rel=\"nofollow\">Quantitative Imaging for Evaluation of Responses to Cancer Therapies (U01)<\/a>.<\/p><div class=\"tab-style-builtin\"><div class=\"localtabs-macro\"><div class=\"aui-tabs horizontal-tabs\" role=\"application\" data-aui-responsive=\"true\"><ul class=\"tabs-menu\"><li class=\"menu-item bv-localtab  active-tab \"><a href=\"#190382568cf61af5bc854054baac8dc05b3bed5b\"><strong>Data Access<\/strong><\/a> <\/li><li class=\"menu-item bv-localtab \"><a href=\"#19038256d538550fd5a9463daefd9cb11c8d3917\"><strong>Detailed Description<\/strong><\/a> <\/li><li class=\"menu-item bv-localtab \"><a href=\"#190382568ea8a58ea18740959c4ab6b74673a43e\"><strong>Citations &amp; Data Usage Policy<\/strong><\/a> <\/li><li class=\"menu-item bv-localtab \"><a href=\"#1903825640a5662fb21348b2b24e1f9a419b9b49\"><strong>Versions<\/strong><\/a> <\/li><\/ul><div class=\"tabs-pane  active-pane \" id=\"190382568cf61af5bc854054baac8dc05b3bed5b\" active=\"true\" name=\"Data Access\" ><h3 id=\"LungPhantom-DataAccess\">Data Access<\/h3><div class=\"table-wrap\"><table class=\"wrapped relative-table confluenceTable\" style=\"width: 38.4126%;\"><colgroup><col style=\"width: 28.4849%;\"\/><col style=\"width: 38.1643%;\"\/><col style=\"width: 33.1826%;\"\/><\/colgroup><tbody><tr><th class=\"confluenceTh\">Data Type<\/th><th class=\"confluenceTh\">Download all or Query\/Filter<\/th><th class=\"confluenceTh\">License<\/th><\/tr><tr><td class=\"confluenceTd\">Images (DICOM, 127.5 MB)<\/td><td class=\"confluenceTd\"><div class=\"content-wrapper\"><p>\n\n<span class=\"confluence-embedded-file-wrapper confluence-embedded-manual-size\">\n   <a href=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/19038256\/TCIA_Lung_Phantom_06-22-2015.tcia?version=2&amp;modificationDate=1601061652295&amp;api=v2\" rel=\"nofollow\"><button class=\"tcia-btn tcia-download-color\"><i class=\"fa fa-cloud-download\" \/> Download<\/button><\/a>\u00a0\n<\/span>\n\n<span class=\"confluence-embedded-file-wrapper confluence-embedded-manual-size\">\n   <a href=\"https:\/\/nbia.cancerimagingarchive.net\/nbia-search\/?MinNumberOfStudiesCriteria=1&amp;CollectionCriteria=Lung Phantom\" class=\"external-link\" rel=\"nofollow\"><button class=\"tcia-btn tcia-search-color\"><i class=\"fa fa-search\" \/> Search<\/button><\/a>\u00a0\n<\/span>\u00a0<a href=\"https:\/\/www.cancerimagingarchive.net\/nbia-search\/?CollectionCriteria=Lung Phantom\" class=\"external-link\" rel=\"nofollow\">\u00a0<\/a><\/p><\/div><p>(Download requires\u00a0the\u00a0<a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/NBIA\/Downloading+TCIA+Images\" rel=\"nofollow\">NBIA Data Retriever<\/a>)<\/p><\/td><td class=\"confluenceTd\"><div class=\"content-wrapper\"><p>\n<a href=\"https:\/\/creativecommons.org\/licenses\/by\/3.0\/\" class=\"external-link\" rel=\"nofollow\">CC BY 3.0<\/a><\/p><\/div><\/td><\/tr><tr><td class=\"confluenceTd\">DICOM Metadata Digest (CSV)<\/td><td class=\"confluenceTd\"><div class=\"content-wrapper\"><p>\n\n<span class=\"confluence-embedded-file-wrapper confluence-embedded-manual-size\">\n   <a href=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/19038256\/LungPhantom_MetaData.csv?version=1&amp;modificationDate=1495563917555&amp;api=v2\" rel=\"nofollow\"><button class=\"tcia-btn tcia-download-color\"><i class=\"fa fa-cloud-download\" \/> Download<\/button><\/a>\u00a0\n<\/span><\/p><\/div><\/td><td class=\"confluenceTd\"><div class=\"content-wrapper\"><p>\n<a href=\"https:\/\/creativecommons.org\/licenses\/by\/3.0\/\" class=\"external-link\" rel=\"nofollow\">CC BY 3.0<\/a><\/p><\/div><\/td><\/tr><\/tbody><\/table><\/div><p>Click the Versions tab for more info about data releases.<\/p><p>\n<h3 id=\"LungPhantom-AdditionalResourcesforthisDataset\">Additional Resources for this Dataset<\/h3>\n<p>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.<\/p><\/p><ul><li class=\"auto-cursor-target\"><a href=\"https:\/\/portal.imaging.datacommons.cancer.gov\/explore\/filters\/?collection_id=lung_phantom\" class=\"external-link\" rel=\"nofollow\">Imaging Data Commons (IDC)<\/a> (Imaging Data)<\/li><\/ul><h3 id=\"LungPhantom-ThirdPartyAnalysesofthisDataset\">Third Party Analyses of this Dataset<\/h3><p>TCIA encourages the community to <a href=\"http:\/\/www.cancerimagingarchive.net\/analysis-results\/\" class=\"external-link\" rel=\"nofollow\">publish your analyses of our datasets<\/a>. Below is a list of such third party analyses published using this Collection:<\/p><ul><li><a href=\"https:\/\/wiki.cancerimagingarchive.net\/pages\/viewpage.action?pageId=20644453\">QIN multi-site collection of Lung CT data with Nodule Segmentations (QIN-LungCT-Seg)<\/a><\/li><\/ul><\/div><div class=\"tabs-pane \" id=\"19038256d538550fd5a9463daefd9cb11c8d3917\" name=\"Detailed Description\" ><h3 id=\"LungPhantom-DetailedDescription\">Detailed Description<\/h3><div class=\"table-wrap\"><table class=\"wrapped confluenceTable\"><tbody><tr><th class=\"confluenceTh\"><div class=\"tablesorter-header-inner\"><p>Collection Statistics<\/p><\/div><\/th><th class=\"confluenceTh\"><div class=\"tablesorter-header-inner\"><p>Updated 2014\/08\/26<\/p><\/div><\/th><\/tr><tr><td class=\"confluenceTd\"><p>Modalities<\/p><\/td><td class=\"confluenceTd\"><p>CT<\/p><\/td><\/tr><tr><td class=\"confluenceTd\"><p>Number of Participants<\/p><\/td><td class=\"confluenceTd\"><p>1<\/p><\/td><\/tr><tr><td class=\"confluenceTd\"><p>Number of Studies<\/p><\/td><td class=\"confluenceTd\"><p>1<\/p><\/td><\/tr><tr><td class=\"confluenceTd\"><p>Number of Series<\/p><\/td><td class=\"confluenceTd\"><p>1<\/p><\/td><\/tr><tr><td class=\"confluenceTd\"><p>Number of Images<\/p><\/td><td class=\"confluenceTd\"><p>237<\/p><\/td><\/tr><tr><td colspan=\"1\" class=\"confluenceTd\">Image Size (MB)<\/td><td colspan=\"1\" class=\"confluenceTd\">127.5<\/td><\/tr><\/tbody><\/table><\/div><\/div><div class=\"tabs-pane \" id=\"190382568ea8a58ea18740959c4ab6b74673a43e\" name=\"Citations BITVOODOO_ANDamp; Data Usage Policy\" ><h3 id=\"LungPhantom-Citations&amp;DataUsagePolicy\">Citations &amp; Data Usage Policy\u00a0<\/h3><p class=\"auto-cursor-target\">\n<p>\nUsers must abide by the <a href=\"https:\/\/wiki.cancerimagingarchive.net\/x\/c4hF\" class=\"external-link\" rel=\"nofollow\">TCIA Data Usage Policy and Restrictions<\/a>. Attribution should include references to the following citations:\n<\/p><\/p><div class=\"confluence-information-macro confluence-information-macro-information\"><p class=\"title\">Data Citation<\/p><span class=\"aui-icon aui-icon-small aui-iconfont-info confluence-information-macro-icon\"><\/span><div class=\"confluence-information-macro-body\"><p>Zhao, B. (2015). <strong>Lung Phantom (Version 2) [Data set]<\/strong>. The Cancer Imaging Archive. <a href=\"https:\/\/doi.org\/10.7937\/k9\/tcia.2015.08a1ixoo\" class=\"external-link\" rel=\"nofollow\">https:\/\/doi.org\/10.7937\/k9\/tcia.2015.08a1ixoo<\/a><\/p><\/div><\/div><div class=\"confluence-information-macro confluence-information-macro-information\"><p class=\"title\">TCIA Citation<\/p><span class=\"aui-icon aui-icon-small aui-iconfont-info confluence-information-macro-icon\"><\/span><div class=\"confluence-information-macro-body\"><p>Clark, K., Vendt, B., Smith, K., Freymann, J., Kirby, J., Koppel, P., Moore, S., Phillips, S., Maffitt, D., Pringle, M., Tarbox, L., &amp; Prior, F. (2013). <strong>The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository.<\/strong> In Journal of Digital Imaging (Vol. 26, Issue 6, pp. 1045\u20131057). Springer Science and Business Media LLC. <a href=\"https:\/\/doi.org\/10.1007\/s10278-013-9622-7\" class=\"external-link\" rel=\"nofollow\">https:\/\/doi.org\/10.1007\/s10278-013-9622-7<\/a> PMCID: PMC3824915<\/p><\/div><\/div><p class=\"auto-cursor-target\"><span style=\"font-size: 16.0px;font-weight: bold;letter-spacing: -0.006em;\">Other Publications Using This Data<\/span><\/p><p><span>TCIA maintains<a href=\"https:\/\/www.cancerimagingarchive.net\/publications\/\" class=\"external-link\" rel=\"nofollow\">\u00a0a list of publications<\/a> which leverage our data. <\/span><span>If you have a<\/span>\u00a0<span>publication<\/span>\u00a0<span>you'd like to add, please<\/span> <a href=\"http:\/\/www.cancerimagingarchive.net\/support\/\" rel=\"nofollow\" class=\"external-link\">contact TCIA's Helpdesk<\/a> <span>.<\/span><\/p><\/div><div class=\"tabs-pane \" id=\"1903825640a5662fb21348b2b24e1f9a419b9b49\" name=\"Versions\" ><h3 id=\"LungPhantom-Version2(Current):Updated2020\/09\/25\">Version 2 (Current): Updated 2020\/09\/25<\/h3><div class=\"table-wrap\"><table class=\"wrapped confluenceTable\"><colgroup> <col\/> <col\/> <\/colgroup><tbody><tr><th colspan=\"1\" class=\"confluenceTh\">Data Type<\/th><th colspan=\"1\" class=\"confluenceTh\">Download all or Query\/Filter<\/th><\/tr><tr><td colspan=\"1\" class=\"confluenceTd\">CT(127.5 MB)<\/td><td colspan=\"1\" class=\"confluenceTd\"><div class=\"content-wrapper\"><p>\n\n<span class=\"confluence-embedded-file-wrapper confluence-embedded-manual-size\">\n   <a href=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/19038256\/LungPhantom_MetaData.csv?version=1&amp;modificationDate=1495563917555&amp;api=v2\" rel=\"nofollow\"><button class=\"tcia-btn tcia-download-color\"><i class=\"fa fa-cloud-download\" \/> Download<\/button><\/a>\u00a0\n<\/span>\n\n<span class=\"confluence-embedded-file-wrapper confluence-embedded-manual-size\">\n   <a href=\"https:\/\/www.cancerimagingarchive.net\/nbia-search\/?CollectionCriteria=Lung%20Phantom\" class=\"external-link\" rel=\"nofollow\"><button class=\"tcia-btn tcia-search-color\"><i class=\"fa fa-search\" \/> Search<\/button><\/a>\u00a0\n<\/span>\u00a0<a href=\"https:\/\/www.cancerimagingarchive.net\/nbia-search\/?CollectionCriteria=Lung Phantom\" class=\"external-link\" rel=\"nofollow\">\u00a0<\/a><\/p><p>(Download requires\u00a0the\u00a0<a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/NBIA\/Downloading+TCIA+Images\" rel=\"nofollow\">NBIA Data Retriever<\/a>)<\/p><\/div><\/td><\/tr><tr><td colspan=\"1\" class=\"confluenceTd\">DICOM Metadata Digest (CSV)<\/td><td colspan=\"1\" class=\"confluenceTd\"><div class=\"content-wrapper\"><p>\n\n<span class=\"confluence-embedded-file-wrapper confluence-embedded-manual-size\">\n   <a href=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/19038256\/LungPhantom_MetaData.csv?version=1&amp;modificationDate=1495563917555&amp;api=v2\" rel=\"nofollow\"><button class=\"tcia-btn tcia-download-color\"><i class=\"fa fa-cloud-download\" \/> Download<\/button><\/a>\u00a0\n<\/span><\/p><\/div><\/td><\/tr><\/tbody><\/table><\/div><p class=\"auto-cursor-target\">9\/25\/2020: Adjusted this table and *.tcia manifest files to remove segmentations built in\u00a0<strong>Multi-site collection of Lung CT data with Nodule Segmentations.<\/strong>\u00a0DOI:\u00a0<a href=\"https:\/\/doi.org\/10.7937\/K9\/TCIA.2015.1BUVFJR7\" class=\"external-link\" rel=\"nofollow\">https:\/\/doi.org\/10.7937\/K9\/TCIA.2015.1BUVFJR7<\/a>\u00a0. Note that the &quot;Search&quot; will take you to both until you uncheck the &quot;Include third party&quot; button.<\/p><h3 id=\"LungPhantom-Version1(deprecated):Updated2014\/08\/26\">Version 1 (deprecated): Updated 2014\/08\/26<\/h3><\/div><\/div><\/div><\/div><p><br\/><\/p>","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.\n \n<ul><li><a href=\"https:\/\/portal.imaging.datacommons.cancer.gov\/explore\/filters\/?collection_id=lung_phantom\">Imaging Data Commons (IDC)<\/a> (Imaging Data)<\/li><\/ul>","cancer_locations":["Lung Phantom"],"collection_page_accessibility":"Public","publications_related":"","version_change_log":"","version_change_log_archived":"","analysis_results":"TCIA encourages the community to <a href=\"http:\/\/www.cancerimagingarchive.net\/analysis-results\/\">publish your analyses of our datasets<\/a>. Below is a list of such third party analyses published using this Collection:\n<ul><li><a href=\"\/pages\/viewpage.action?pageId=20644453\">QIN multi-site collection of Lung CT data with Nodule Segmentations (QIN-LungCT-Seg)<\/a><\/li><\/ul>","collection_status":"Complete","publications_using":"","species":["Human"],"collection_title":"Lung Phantom","detailed_description":"","related_analysis_results":["QIN-LUNGCT-SEG"],"subjects":"1","collection_short_title":"Lung Phantom","data_types":["CT"],"date_updated":"2023-09-13","collection_browse_title":"","supporting_data":["Image Analyses"],"collection_featured_image":false,"collection_summary":"The <a href=\"\/display\/Public\/Phantom+FDA\">FDA anthropomorphic thorax phantom<\/a> with 12 phantom lesions of different sizes (10 and 20 mm in effective diameter), shapes (spherical, elliptical, lobulated, and spiculated), and densities (\u2212630,\u221210, and +100 HU) was scanned at Columbia University Medical Center on a 64-detector row scanner (LightSpeed VCT, GE Healthcare, Milwaukee, WI). The CT scanning parameters were 120 kVp, 100 mAs, 64x0.625 collimation, and pitch of 1.375. The images were reconstructed with the lung kernel using 1.25 mm slice thickness.\nThis data set was provided to TCIA for use in the National Cancer Institute's Quantiatitive Imaging Network (<a href=\"\/display\/Public\/QIN+Lung+CT+Segmentation+Challenge\">QIN) Lung CT Segmentation Challenge<\/a>. \u00a0A\u00a0<a href=\"\/pages\/viewpage.action?pageId=20644453\">TCIA Analysis Result dataset<\/a> was created to enable easy re-use of the complete multi-site challenge data set.\n<h4>About the NCI QIN<\/h4>\nThe mission of the QIN is to improve the role of quantitative imaging for clinical decision making in oncology by developing and validating data acquisition, analysis methods, and tools to tailor treatment for individual patients and predict or monitor the response to drug or radiation therapy. More information is available on the <a href=\"\/display\/Public\/Quantitative+Imaging+Network+Collections\">Quantitative Imaging Network Collections<\/a> page. Interested investigators can apply to the QIN at: <a href=\"http:\/\/imaging.cancer.gov\/programsandresources\/SpecializedInitiatives\/qin\">Quantitative Imaging for Evaluation of Responses to Cancer Therapies (U01)<\/a>.","collection_acknowledgements":"","collection_funding":"","hide_from_browse_table":[],"_links":{"self":[{"href":"https:\/\/cm.vastapps.dev\/api\/v1\/collections\/5624"}],"collection":[{"href":"https:\/\/cm.vastapps.dev\/api\/v1\/collections"}],"about":[{"href":"https:\/\/cm.vastapps.dev\/api\/wp\/v2\/types\/tcia_collection"}],"wp:attachment":[{"href":"https:\/\/cm.vastapps.dev\/api\/wp\/v2\/media?parent=5624"}],"wp:term":[{"taxonomy":"tcia_citation_tax","embeddable":true,"href":"https:\/\/cm.vastapps.dev\/api\/v1\/citation-tax?post=5624"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}