{"id":45847,"date":"2023-11-20T05:38:08","date_gmt":"2023-11-20T11:38:08","guid":{"rendered":"https:\/\/stage.cancerimagingarchive.net\/analysis-result\/dicom-glioma-seg\/"},"modified":"2024-10-31T12:13:26","modified_gmt":"2024-10-31T17:13:26","slug":"dicom-glioma-seg","status":"publish","type":"tcia_analysis_result","link":"https:\/\/stage.cancerimagingarchive.net\/analysis-result\/dicom-glioma-seg\/","title":{"rendered":"DICOM-GLIOMA-SEG"},"featured_media":0,"template":"","class_list":["post-45847","tcia_analysis_result","type-tcia_analysis_result","status-publish"],"cancer_types":["Glioblastoma","Low Grade Glioma"],"citations":[45829,45835,9225],"result_doi":"10.7937\/TCIA.2018.ow6ce3ml","result_download_info":"Some data in this collection contains images that could potentially be used to reconstruct a human face. To safeguard the privacy of participants, users must sign and submit a TCIA Restricted License Agreement<\/a> to help@cancerimagingarchive.net<\/a> before accessing the data.\r\n\r\nBe sure to \"request dataset\" with these : DICOM-Glioma-SEG, TCGA-GBM, and TCGA-LGG in your Agreement on page 1 so that we can process your request efficiently. Complete all pages.","result_downloads":[45837,45839,45841],"version_change_log_archived":"Version 1 (Current): 2020\/04\/30\r\nData TypeDownload all or Query\/FilterLicenseSegmentations (DICOM, 4 GB)\r\n Download\u00a0\r\n\r\n Search\u00a0\r\n(Download requires the NBIA Data Retriever and permission)TCIA RestrictedDCMQI Metadata (JSON , TXT, ZIP, 3.1 MB)\r\n Download\u00a0\r\nCC BY 4.0TCGA key mapping (CSV)\r\n Download\u00a0\r\nCC BY 4.0Corresponding Original MR Images from TCGA-LGG images 65 subjects (DICOM, MR, 17 GB)\r\n Download\u00a0\r\n\r\n Search\u00a0\r\n(Download requires the NBIA Data Retriever and permission)TCIA RestrictedCorresponding Original MR Images from\u00a0TCGA-GBM images 102 subjects (DICOM, MR, 32 GB)\r\n Download\u00a0\r\n\r\n Search\u00a0\r\n(Download requires the NBIA Data Retriever and permission)TCIA Restricted","versions":false,"additional_resources":"","cancer_locations":["Brain"],"publications_related":"The Collection authors recommend these readings to give context to this dataset","result_page_accessibility":"Limited","detailed_description":"*For TCGA-GBM patient\u00a0TCGA-06-0192, there were 2 studies.","publications_using":"TCIA maintains\u00a0a list of publications<\/a>\u00a0that leveraged this dataset. If you have a manuscript you\u2019d like to add please\u00a0contact TCIA\u2019s Helpdesk<\/a>.","result_title":"DICOM-SEG Conversions for TCGA-LGG and TCGA-GBM Segmentation Datasets","species":false,"version_number":"1","date_updated":"2020-04-30","related_collections":[44065,43903],"result_short_title":"DICOM-Glioma-SEG","subjects":"167","related_analysis_results":[45725,45739],"result_browse_title":"DICOM-SEG Conversions for TCGA-LGG and TCGA-GBM Segmentation Datasets(DICOM-Glioma-SEG)","supporting_data":["Tumor segmentations"],"version_change_log":"","collections":"Below is a list of the Collections used in these analyses:\r\n\r\nSome data in this collection contains images that could potentially be used to reconstruct a human face. To safeguard the privacy of participants, users must sign and submit a TCIA Restricted License Agreement<\/a> to help@cancerimagingarchive.net<\/a> before accessing the data.\r\n<\/colgroup>\r\n\r\n\r\n\r\n\r\n
Data Type<\/th>\r\nDownload all or Query\/Filter<\/th>\r\nLicense<\/th>\r\n<\/tr>\r\n
Corresponding Original MR Images from TCGA-LGG<\/a> images 65 subjects (DICOM, MR, 17 GB)<\/td>\r\n\r\n\r\n
Corresponding Original MR Images from\u00a0TCGA-GBM<\/a> images 102 subjects (DICOM, MR, 32 GB)<\/td>\r\n\r\n\r\n
\r\n\r\nTCIA Restricted<\/a>\r\n\r\n<\/div><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n ","result_summary":"This dataset contains DICOM-SEG (DSO) conversions of the\u00a0 Segmentation Labels and Radiomic Features for the Pre-operative Scans of the TCGA-LGG collection <\/a>\u00a0and\u00a0 Segmentation Labels and Radiomic Features for the Pre-operative Scans of the TCGA-GBM collection\u00a0<\/a>analysis datasets.\r\n\r\nThe MR volumes and segmentations provided in the original segmentation datasets (T1 pre-contrast, T1 post-contrast, T2, FLAIR) are in NIfTI format, co-registered to an atlas space, and re-sampled to 1mm isotropic resolution. This dataset contains DICOM-SEG versions of the same segmentations, transformed back into the original patient resolutions and orientations found in the TCIA\u2019s\u00a0TCGA-GBM<\/a> and\u00a0TCGA-LGG<\/a> datasets. This allows users to extract features from MR sequences without introducing interpolation artifacts from isotropic resampling.\r\n\r\nThe process for creating these DSO objects is as follows. Patient data from the original NIfTI datasets were registered and resampled from isotropic space to patient space and resolution using\u00a0 3DSlicer\u2019s BRAINSFit module <\/a> . The affine transformation files from these registrations are used to register and resample both the semi-automatic and automatic NIfTI segmentations into the spaces of each original MR DICOM dataset. These transformed NIfTI segmentations are then converted into DICOM-SEG datasets using the software package\u00a0 dcmqi <\/a> . Because each MR sequence has a unique patient space and resolution, the resulting dataset contains four DSO segmentations for each original NIfTI segmentation.\r\n\r\nIncluded in this dataset are the converted DSO volumes, DSO metadata values used in the DSO conversion program\u00a0dcmqi<\/a>, and affine transformation files from isotropic space to the original patient space saved in ITK format. Original patient DICOM volumes are also available for download below. A key is provided that maps individual DSO objects to their corresponding DICOM Series UID, to facilitate easier data analysis.","collection_downloads":[45843,45845],"result_featured_image":false,"result_acknowledgements":"","hide_from_browse_table":"0","program":["Community"],"_links":{"self":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/analysis-results\/45847","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/analysis-results"}],"about":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/types\/tcia_analysis_result"}],"version-history":[{"count":1,"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/analysis-results\/45847\/revisions"}],"predecessor-version":[{"id":47447,"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/analysis-results\/45847\/revisions\/47447"}],"wp:attachment":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/media?parent=45847"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}