{"id":5588,"date":"2023-09-04T03:10:40","date_gmt":"2023-09-04T03:10:40","guid":{"rendered":"https:\/\/cm.vastapps.dev\/tcia-collection\/4d-lung\/"},"modified":"2023-09-13T21:18:10","modified_gmt":"2023-09-13T21:18:10","slug":"4d-lung","status":"publish","type":"tcia_collection","link":"https:\/\/cm.vastapps.dev\/tcia-collection\/4d-lung\/","title":{"rendered":"4D-LUNG"},"featured_media":0,"template":"","citation-tax":[],"cancer_types":["Non-small Cell Lung Cancer"],"citations":[4454,4455,4456,4457,2925],"collection_doi":"10.7937\/K9\/TCIA.2016.ELN8YGLE","collection_download_info":"Click the Versions tab for more info about data releases.","collection_downloads":[5008],"full_export":"<h2 id=\"Datafrom4DLungImagingofNSCLCPatients(4DLung)-Summary\">Summary<\/h2>This data collection consists of images acquired during chemoradiotherapy of 20 locally-advanced, non-small cell lung cancer patients. The images include four-dimensional (4D) fan beam (4D-FBCT) and 4D cone beam CT (4D-CBCT). All patients underwent concurrent radiochemotherapy to a total dose of 64.8-70\u00a0Gy using daily 1.8 or 2\u00a0Gy fractions.\u00a0<\/p><p>4D-FBCT images were acquired\u00a0on a 16-slice helical CT scanner (Brilliance Big Bore, Philips Medical Systems, Andover, MA) as respiration-correlated CTs with 10 breathing phases (0 to 90%, phase-based binning) and 3 mm slice thickness. 4D-FBCT images were acquired during simulation, prior to therapy, and used for therapy planning. In 14 of the 20 subjects, 4D-FBCTs were also acquired on the same scanner weekly during therapy.\u00a04D-CBCT images were acquired\u00a0on a commercial CBCT scanner (On-Board Imager\u2122, Varian Medical Systems, Inc.). An external surrogate (Real-time Position Management, Varian Medical Systems, Inc.) was integrated into the CBCT acquisition system to stamp each CBCT projection with the surrogate respiratory signal through in-house software and hardware tools. Approximately 2500 projections were acquired over a period of 8-10 minutes in half-fan mode with half bow-tie filter. The technique was 125 kVp, 20 mA, and 20 ms in a single 360\u00b0 slow gantry arc. Using the external surrogate, the CBCT projections were sorted into 10 breathing phases (0 to 90%, phase-based binning) and reconstructed with an in-house FDK reconstruction algorithm.<\/p><p>Audio-visual biofeedback was performed for all 4D-FBCT and 4D-CBCT acquisitions in all subjects.\u00a0A single Radiation Oncologist delineated targets and organs at risk in all 4D-FBCT and a limited number of 4D-CBCT images, on all 10 phases per scan.\u00a0Seven of the subjects had gold coils implanted as fiducial markers in or near the tumor.\u00a0<p>The dataset is most fully described in detail in Balik et al.<sup>1\u00a0 <\/sup>Seven of the subjects had gold coils implanted as fiducial markers in or near the tumor. The implantation procedure and details of marker location are described in detail in Roman et al.<sup>2<\/sup><\/p><div class=\"confluence-information-macro confluence-information-macro-information\"><p class=\"title\">References<\/p><span class=\"aui-icon aui-icon-small aui-iconfont-info confluence-information-macro-icon\"><\/span><div class=\"confluence-information-macro-body\"><p><sup>1<\/sup> <a href=\"http:\/\/www.ncbi.nlm.nih.gov\/pmc\/articles\/PMC3647023\/\" class=\"external-link\" rel=\"nofollow\">S. Balik et al., \u201cEvaluation of 4-Dimensional Computed Tomography to 4-Dimensional Cone-Beam Computed Tomography Deformable Image Registration for Lung Cancer Adaptive Radiation Therapy.\u201d Int. J. Radiat. Oncol. Biol. Phys.\u00a0<strong>86<\/strong>, 372\u20139 (2013) PMCID: PMC3647023.<\/a><\/p><p><sup>2<\/sup> <a href=\"http:\/\/www.ncbi.nlm.nih.gov\/pubmed\/22391105\" class=\"external-link\" rel=\"nofollow\">N.O. Roman, W. Shepherd, N. Mukhopadhyay, G.D. Hugo, and E. Weiss, \u201cInterfractional Positional Variability of Fiducial Markers and Primary Tumors in Locally Advanced Non-Small-Cell Lung Cancer during Audiovisual Biofeedback Radiotherapy.\u201d Int. J. Radiat. Oncol. Biol. Phys.\u00a0<strong>83<\/strong>, 1566\u201372 (2012).<\/a><\/p><\/div><\/div><h3 id=\"Datafrom4DLungImagingofNSCLCPatients(4DLung)-Acknowledgements\">Acknowledgements<\/h3><p>Data collection and analysis was supported by NIH\u00a0P01CA116602.<\/p><p><br\/><\/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=\"#212674143430fa0a2bc94ef3b4e1ad4423ef2b8c\"><strong>Data Access<\/strong><\/a> <\/li><li class=\"menu-item bv-localtab \"><a href=\"#21267414f430c46a78d745868f713ed657dcecbb\"><strong>Detailed Description<\/strong><\/a> <\/li><li class=\"menu-item bv-localtab \"><a href=\"#212674149adef87632cd48b19dd858706ba91f7a\"><strong>Citations &amp; Data Usage Policy<\/strong><\/a> <\/li><li class=\"menu-item bv-localtab \"><a href=\"#2126741489349c6dc681425c85159060eecf8e2a\"><strong>Versions<\/strong><\/a> <\/li><\/ul><div class=\"tabs-pane  active-pane \" id=\"212674143430fa0a2bc94ef3b4e1ad4423ef2b8c\" active=\"true\" name=\"Data Access\" ><h3 id=\"Datafrom4DLungImagingofNSCLCPatients(4DLung)-DataAccess\">Data Access<\/h3><div class=\"table-wrap\"><table class=\"wrapped confluenceTable\"><colgroup><col\/><col\/><col\/><\/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\u00a0a<span style=\"color: rgb(38,44,49);\">nd Radiation Therapy Structures<\/span> (DICOM, 183GB)<\/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\/21267414\/doiJNLP-Y71kLpdQ.tcia?version=1&amp;modificationDate=1534787014809&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\/?CollectionCriteria=4D-Lung\" class=\"external-link\" rel=\"nofollow\"><button class=\"tcia-btn tcia-search-color\"><i class=\"fa fa-search\" \/> Search<\/button><\/a>\u00a0\n<\/span><br\/><\/p><p><span style=\"color: rgb(33,37,41);text-decoration: none;\">(Download requires <\/span><a style=\"text-decoration: none;text-align: left;\" rel=\"nofollow\" href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/NBIA\/Downloading+TCIA+Images\">NBIA Data Retriever<\/a>)<\/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=\"Datafrom4DLungImagingofNSCLCPatients(4DLung)-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=4d_lung\" class=\"external-link\" rel=\"nofollow\">Imaging Data Commons (IDC)<\/a> (Imaging Data)<\/li><\/ul><\/div><div class=\"tabs-pane \" id=\"21267414f430c46a78d745868f713ed657dcecbb\" name=\"Detailed Description\" ><h3 id=\"Datafrom4DLungImagingofNSCLCPatients(4DLung)-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><br\/><\/p><\/div><\/th><\/tr><tr><td class=\"confluenceTd\"><p>Modalities<\/p><\/td><td class=\"confluenceTd\"><p>CT, RTSTRUCT<\/p><\/td><\/tr><tr><td class=\"confluenceTd\"><p>Number of Participants<\/p><\/td><td class=\"confluenceTd\"><p>20<\/p><\/td><\/tr><tr><td class=\"confluenceTd\"><p>Number of Studies<\/p><\/td><td class=\"confluenceTd\"><p>589<\/p><\/td><\/tr><tr><td class=\"confluenceTd\"><p>Number of Series<\/p><\/td><td class=\"confluenceTd\"><p>6,690<\/p><\/td><\/tr><tr><td class=\"confluenceTd\"><p>Number of Images<\/p><\/td><td class=\"confluenceTd\"><p>347,330<\/p><\/td><\/tr><tr><td colspan=\"1\" class=\"confluenceTd\">Image Size (GB)<\/td><td colspan=\"1\" class=\"confluenceTd\">183<\/td><\/tr><\/tbody><\/table><\/div><\/div><div class=\"tabs-pane \" id=\"212674149adef87632cd48b19dd858706ba91f7a\" name=\"Citations BITVOODOO_ANDamp; Data Usage Policy\" ><h3 id=\"Datafrom4DLungImagingofNSCLCPatients(4DLung)-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>Hugo, G. D., Weiss, E., Sleeman, W. C., Balik, S., Keall, P. J., Lu, J., &amp; Williamson, J. F. (2016). <strong>Data from 4D Lung Imaging of NSCLC Patients (Version 2) [Data set]<\/strong>. The Cancer Imaging Archive. <a href=\"https:\/\/doi.org\/10.7937\/K9\/TCIA.2016.ELN8YGLE\" class=\"external-link\" rel=\"nofollow\">https:\/\/doi.org\/10.7937\/K9\/TCIA.2016.ELN8YGLE<\/a><\/p><\/div><\/div><div class=\"confluence-information-macro confluence-information-macro-information\"><p class=\"title\">Publication Citation<\/p><span class=\"aui-icon aui-icon-small aui-iconfont-info confluence-information-macro-icon\"><\/span><div class=\"confluence-information-macro-body\"><p><span>Hugo, G. D., Weiss, E., Sleeman, W. C., Balik, S., Keall, P. J., Lu, J., &amp; Williamson, J. F. (2017). <strong>A longitudinal four-dimensional computed tomography and cone beam computed tomography dataset for image-guided radiation therapy research in lung cancer<\/strong>. In Medical Physics (Vol. 44, Issue 2, pp. 762\u2013771). Wiley. <a href=\"https:\/\/doi.org\/10.1002\/mp.12059\" class=\"external-link\" rel=\"nofollow\">https:\/\/doi.org\/10.1002\/mp.12059<\/a><\/span><\/p><\/div><\/div><div class=\"confluence-information-macro confluence-information-macro-information\"><p class=\"title\">Publication Citation<\/p><span class=\"aui-icon aui-icon-small aui-iconfont-info confluence-information-macro-icon\"><\/span><div class=\"confluence-information-macro-body\"><p>Balik, S., Weiss, E., Jan, N., Roman, N., Sleeman, W. C., Fatyga, M., Christensen, G. E., Zhang, C., Murphy, M. J., Lu, J., Keall, P., Williamson, J. F., &amp; Hugo, G. D. (2013). <strong>Evaluation of 4-dimensional Computed Tomography to 4-dimensional Cone-Beam Computed Tomography Deformable Image Registration for Lung Cancer Adaptive Radiation Therapy<\/strong>. In International Journal of Radiation Oncology*Biology*Physics (Vol. 86, Issue 2, pp. 372\u2013379). Elsevier BV. PMCID: <a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pmc\/articles\/PMC3647023\/\" class=\"external-link\" rel=\"nofollow\">PMC3647023<\/a>. <a href=\"https:\/\/doi.org\/10.1016\/j.ijrobp.2012.12.023\" class=\"external-link\" rel=\"nofollow\">https:\/\/doi.org\/10.1016\/j.ijrobp.2012.12.023<\/a><\/p><\/div><\/div><div class=\"confluence-information-macro confluence-information-macro-information\"><p class=\"title\">Publication Citation<\/p><span class=\"aui-icon aui-icon-small aui-iconfont-info confluence-information-macro-icon\"><\/span><div class=\"confluence-information-macro-body\"><p>Roman, N. O., Shepherd, W., Mukhopadhyay, N., Hugo, G. D., &amp; Weiss, E. (2012).<strong> Interfractional Positional Variability of Fiducial Markers and Primary Tumors in Locally Advanced Non-Small-Cell Lung Cancer During Audiovisual Biofeedback Radiotherapy<\/strong>. In International Journal of Radiation Oncology*Biology*Physics (Vol. 83, Issue 5, pp. 1566\u20131572). Elsevier BV. <a href=\"https:\/\/doi.org\/10.1016\/j.ijrobp.2011.10.051\" class=\"external-link\" rel=\"nofollow\">https:\/\/doi.org\/10.1016\/j.ijrobp.2011.10.051<\/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, Prior F.\u00a0<strong>The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository<\/strong>, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. DOI: <a href=\"https:\/\/doi.org\/10.1007\/s10278-013-9622-7\" class=\"external-link\" rel=\"nofollow\">10.1007\/s10278-013-9622-7<\/a><\/p><\/div><\/div><h3 id=\"Datafrom4DLungImagingofNSCLCPatients(4DLung)-OtherPublicationsUsingThisData\">Other Publications Using This Data<\/h3><p><span>TCIA maintains <a href=\"https:\/\/www.cancerimagingarchive.net\/publications\/\" class=\"external-link\" rel=\"nofollow\">a list of publications<\/a> which leverage our data. <\/span>If you have a manuscript you'd like to add please<a href=\"http:\/\/www.cancerimagingarchive.net\/support\/\" class=\"external-link\" rel=\"nofollow\"> contact TCIA's Helpdesk<\/a>.<\/p><p><br\/><\/p><\/div><div class=\"tabs-pane \" id=\"2126741489349c6dc681425c85159060eecf8e2a\" name=\"Versions\" ><h3 id=\"Datafrom4DLungImagingofNSCLCPatients(4DLung)-Version2(Current):Updated2016\/10\/19\">Version 2 (Current): Updated 2016\/10\/19<\/h3><p>Any download of this dataset prior to October 18 2016 contains data that was updated after that date by the investigators. It is recommended that you download a fresh copy before applying your analysis.<\/p><div class=\"table-wrap\"><table class=\"wrapped confluenceTable\"><colgroup> <col\/> <col\/> <\/colgroup><tbody><tr><th class=\"confluenceTh\">Data Type<\/th><th class=\"confluenceTh\">Download all or Query\/Filter<\/th><\/tr><tr><td class=\"confluenceTd\">Images (DICOM, 183GB)<\/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\/21267414\/doiJNLP-Y71kLpdQ.tcia?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=4D-Lung\" class=\"external-link\" rel=\"nofollow\"><button class=\"tcia-btn tcia-search-color\"><i class=\"fa fa-search\" \/> Search<\/button><\/a>\u00a0\n<\/span><span>(Download requires\u00a0the <\/span> <a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/NBIA\/Downloading+TCIA+Images\" rel=\"nofollow\">NBIA Data Retriever<\/a> <span>.)<\/span><\/p><\/div><\/td><\/tr><\/tbody><\/table><\/div><h3 id=\"Datafrom4DLungImagingofNSCLCPatients(4DLung)-Version1:2015\/09\/14\">Version 1 : 2015\/09\/14<\/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\">Images (DICOM, 183GB)<\/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\/21267414\/doiJNLP-Y71kLpdQ.jnlp?api=v2\" rel=\"nofollow\"><button class=\"tcia-btn tcia-download-color\"><i class=\"fa fa-cloud-download\" \/> Download<\/button><\/a>\u00a0\n<\/span><br\/><\/p><p><span class=\"confluence-link\"> <span>(Download requires\u00a0the <\/span> <a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/NBIA\/Downloading+TCIA+Images\" rel=\"nofollow\">NBIA Data Retriever<\/a> <span>.)<\/span> <\/span><\/p><\/div><\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/div><\/div>","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=4d_lung\">Imaging Data Commons (IDC)<\/a> (Imaging Data)<\/li><\/ul>","cancer_locations":["Lung"],"collection_page_accessibility":"Public","publications_related":"","version_change_log":"","version_change_log_archived":"Any download of this dataset prior to October 18 2016 contains data that was updated after that date by the investigators. It is recommended that you download a fresh copy before applying your analysis.\n<table><colgroup> <col\/> <col\/> <\/colgroup><tbody><tr><th>Data Type<\/th><th>Download all or Query\/Filter<\/th><\/tr><tr><td>Images (DICOM, 183GB)<\/td><td><div><p>\n<a download=\"\" href=\"\/wp-content\/uploads\/doiJNLP-Y71kLpdQ.tcia\" target=\"_blank\"><button><i> <\/i> Download<\/button><\/a>\u00a0\n\n\n<a href=\"https:\/\/nbia.cancerimagingarchive.net\/nbia-search\/?MinNumberOfStudiesCriteria=1&amp;CollectionCriteria=4D-Lung\"><button><i> <\/i> Search<\/button><\/a>\u00a0\n(Download requires\u00a0the  <a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/NBIA\/Downloading+TCIA+Images\">NBIA Data Retriever<\/a> .)<\/p><\/div><\/td><\/tr><\/tbody><\/table><table><colgroup> <col\/> <col\/> <\/colgroup><tbody><tr><th colspan=\"1\">Data Type<\/th><th colspan=\"1\">Download all or Query\/Filter<\/th><\/tr><tr><td colspan=\"1\">Images (DICOM, 183GB)<\/td><td colspan=\"1\"><div><p>\n<a download=\"\" href=\"\/wp-content\/uploads\/doiJNLP-Y71kLpdQ.tcia\" target=\"_blank\"><button><i> <\/i> Download<\/button><\/a>\u00a0\n<br\/><\/p><p> (Download requires\u00a0the  <a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/NBIA\/Downloading+TCIA+Images\">NBIA Data Retriever<\/a> .) <\/p><\/div><\/td><\/tr><\/tbody><\/table>","analysis_results":"","collection_status":"Complete","publications_using":"TCIA maintains <a href=\"https:\/\/www.cancerimagingarchive.net\/publications\/\">a list of publications<\/a> which leverage our data. If you have a manuscript you'd like to add please<a href=\"http:\/\/www.cancerimagingarchive.net\/support\/\"> contact TCIA's Helpdesk<\/a>.\n<br\/>","species":["Human"],"collection_title":"Data from 4D Lung Imaging of NSCLC Patients","detailed_description":"","related_analysis_results":false,"subjects":"20","collection_short_title":"4D-Lung","data_types":["CT","RTSTRUCT"],"date_updated":"2016-01-07","collection_browse_title":"","supporting_data":["Image Analyses"],"collection_featured_image":false,"collection_summary":"This data collection consists of images acquired during chemoradiotherapy of 20 locally-advanced, non-small cell lung cancer patients. The images include four-dimensional (4D) fan beam (4D-FBCT) and 4D cone beam CT (4D-CBCT). All patients underwent concurrent radiochemotherapy to a total dose of 64.8-70\u00a0Gy using daily 1.8 or 2\u00a0Gy fractions.\u00a0<p>4D-FBCT images were acquired\u00a0on a 16-slice helical CT scanner (Brilliance Big Bore, Philips Medical Systems, Andover, MA) as respiration-correlated CTs with 10 breathing phases (0 to 90%, phase-based binning) and 3 mm slice thickness. 4D-FBCT images were acquired during simulation, prior to therapy, and used for therapy planning. In 14 of the 20 subjects, 4D-FBCTs were also acquired on the same scanner weekly during therapy.\u00a04D-CBCT images were acquired\u00a0on a commercial CBCT scanner (On-Board Imager\u2122, Varian Medical Systems, Inc.). An external surrogate (Real-time Position Management, Varian Medical Systems, Inc.) was integrated into the CBCT acquisition system to stamp each CBCT projection with the surrogate respiratory signal through in-house software and hardware tools. Approximately 2500 projections were acquired over a period of 8-10 minutes in half-fan mode with half bow-tie filter. The technique was 125 kVp, 20 mA, and 20 ms in a single 360\u00b0 slow gantry arc. Using the external surrogate, the CBCT projections were sorted into 10 breathing phases (0 to 90%, phase-based binning) and reconstructed with an in-house FDK reconstruction algorithm.<\/p><p>Audio-visual biofeedback was performed for all 4D-FBCT and 4D-CBCT acquisitions in all subjects.\u00a0A single Radiation Oncologist delineated targets and organs at risk in all 4D-FBCT and a limited number of 4D-CBCT images, on all 10 phases per scan.\u00a0Seven of the subjects had gold coils implanted as fiducial markers in or near the tumor.\u00a0<\/p>\nThe dataset is most fully described in detail in Balik et al.<sup>1\u00a0 <\/sup>Seven of the subjects had gold coils implanted as fiducial markers in or near the tumor. The implantation procedure and details of marker location are described in detail in Roman et al.<sup>2<\/sup>\nReferences <div><p><sup>1<\/sup> <a href=\"http:\/\/www.ncbi.nlm.nih.gov\/pmc\/articles\/PMC3647023\/\">S. Balik et al., \u201cEvaluation of 4-Dimensional Computed Tomography to 4-Dimensional Cone-Beam Computed Tomography Deformable Image Registration for Lung Cancer Adaptive Radiation Therapy.\u201d Int. J. Radiat. Oncol. Biol. Phys.\u00a0<strong>86<\/strong>, 372\u20139 (2013) PMCID: PMC3647023.<\/a><\/p><p><sup>2<\/sup> <a href=\"http:\/\/www.ncbi.nlm.nih.gov\/pubmed\/22391105\">N.O. Roman, W. Shepherd, N. Mukhopadhyay, G.D. Hugo, and E. Weiss, \u201cInterfractional Positional Variability of Fiducial Markers and Primary Tumors in Locally Advanced Non-Small-Cell Lung Cancer during Audiovisual Biofeedback Radiotherapy.\u201d Int. J. Radiat. Oncol. Biol. Phys.\u00a0<strong>83<\/strong>, 1566\u201372 (2012).<\/a><\/p><\/div>","collection_acknowledgements":"Data collection and analysis was supported by NIH\u00a0P01CA116602.\n<br\/>","collection_funding":"","hide_from_browse_table":"0","_links":{"self":[{"href":"https:\/\/cm.vastapps.dev\/api\/v1\/collections\/5588"}],"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=5588"}],"wp:term":[{"taxonomy":"tcia_citation_tax","embeddable":true,"href":"https:\/\/cm.vastapps.dev\/api\/v1\/citation-tax?post=5588"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}