{"id":5778,"date":"2023-09-04T03:37:15","date_gmt":"2023-09-04T03:37:15","guid":{"rendered":"https:\/\/cm.vastapps.dev\/tcia-analysis-result\/dicom-glioma-seg\/"},"modified":"2023-09-13T12:09:57","modified_gmt":"2023-09-13T12:09:57","slug":"dicom-glioma-seg","status":"publish","type":"tcia_analysis_result","link":"https:\/\/cm.vastapps.dev\/tcia-analysis-result\/dicom-glioma-seg\/","title":{"rendered":"DICOM-GLIOMA-SEG"},"featured_media":0,"template":"","cancer_types":false,"citations":[4777,4778,4779,4780,2925],"full_export":"

Description<\/span><\/h2>

This dataset contains DICOM-SEG (DSO) conversions of the\u00a0<\/span> Segmentation Labels and Radiomic Features for the Pre-operative Scans of the TCGA-LGG collection<\/span> <\/a>\u00a0and\u00a0<\/span> Segmentation Labels and Radiomic Features for the Pre-operative Scans of the TCGA-GBM collection<\/span> <\/a> \u00a0analysis datasets.<\/span> <\/span> \u00a0<\/span> <\/span> The 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<\/span>\u00a0TCGA-GBM<\/span><\/a> and<\/span>\u00a0TCGA-LGG<\/span><\/a> datasets. This allows users to extract features from MR sequences without introducing interpolation artifacts from isotropic resampling.<\/span> <\/span> \u00a0<\/span> <\/span> The 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<\/span> 3DSlicer\u2019s BRAINSFit module<\/span> <\/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<\/span> dcmqi<\/span> <\/a> . Because each MR sequence has a unique patient space and resolution, the resulting dataset contains four DSO segmentations for each original NIfTI segmentation.<\/span> <\/span><\/p>

Included 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.<\/span> \u00a0<\/span> <\/span><\/p>