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Localtab Group



Localtab
activetrue
titleData Access

Data Access


Data TypeDownload all or Query/FilterLicense

Images (NIfTI, 669 MB)

MNI MR/Segs (CWRU annotations only)


Tcia button generator
urlhttps://faspex.cancerimagingarchive.net/aspera/faspex/external_deliveries/373?passcode=5e86ea35c124b2567fd292fc093a4820e7ca1d9f

MNI faspex download

(Download and apply the IBM-Aspera-Connect plugin to your browser to retrieve this faspex package) 

Tcia cc by 3

Images (NIfTI, zip, 469 MB)

SRI MR/Segs (UPenn & CWRU annotations)


Tcia button generator
urlhttps://faspex.cancerimagingarchive.net/aspera/faspex/external_deliveries/372?passcode=826864a1a25dad075f6e53578f37a6f868b0f2f5

SRI faspex download

(Download and apply the IBM-Aspera-Connect plugin to your browser to retrieve this faspex package) 

Tcia cc by 3

Subjects' Meta-data (csv, 7 KB)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/70222827/metadata.csv?api=v2




Tcia cc by 3

Radiomic Features and Reproducibility Evaluation on SRI data (zip, 17.2 MB)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/70222827/Multi-Institutional%20Paired%20Expert%20Segmentations%20Radiomic%20Features%20%20and%20Reproducibility%20Evaluation%20on%20SRI.zip?api=v2

Eval wiki download


Tcia cc by 3


Collections Used in this Third Party Analysis
Below is a list of the Collections used in these analyses:

Source Image DataDownload or Query/FilterLicense
Corresponding Original MR Images from IvyGAP (130.4 GB)

 

Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/22515597/doiJNLP-IvyGAP.tcia?version=1&modificationDate=1534787022177&api=v2



Tcia button generator
labelSearch
urlhttps://www.cancerimagingarchive.net/nbia-search/?CollectionCriteria=IvyGAP


(Download requires the  NBIA Data Retriever and permission)

Tcia restricted license


Please contact TCIA's Helpdeskwith any questions regarding usage.





Localtab
titleDetailed Description

Detailed Description

The data comprises of expert segmentation labels from each institution (i.e. 34 subjects from both UPenn and CWRU, with a total of 37), along with the corresponding co-registered and skull-stripped structural MRI scans in the space they were created (i.e., SRI for UPenn and MNI for CWRU), and the expert segmentation labels for the 31 common subjects co-registered in the SRI atlas. For brevity, we have included the corresponding SRI and MNI anatomical atlas files that we employed, the complete set of extracted radiomic features per subject for each of the 31 included subjects, along with the parameters used for the radiomic feature extraction and the correlation analysis results for identifying robust radiomic features, and finally, the identified robust radiomic features.




Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy


Tcia limited license policy


Info
titleData Citation

Pati, S., Verma, R., Akbari, H., Bilello, M., Hill, V.B., Sako, C., Correa, R., Beig, N., Venet, L., Thakur, S., Serai, P., Ha, S.M., Blake, G.D., Shinohara, R.T., Tiwari, P., Bakas, S. (2020). Data from the Multi-Institutional Paired Expert Segmentations and Radiomic Features of the Ivy GAP Dataset. DOI: https://doi.org/10.7937/9j41-7d44.



Info
titleGrant Acknowledgement
  • National Institutes of Health (NIH) under award number NCI:U01CA242871
  • Department of Defense (DoD) Peer Reviewed Cancer Research Program (W81XWH-18-1-0404)
  • Dana Foundation David Mahoney Neuroimaging Grant, the CCCC Brain Tumor Pilot Award
  • CWRU Technology Validation Start-Up Fund (CTP)
  • The V Foundation Translational Research Award. 

The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH, U.S. Department of Veterans Affairs, the DoD, or the United States Government.


Info
titlePublication Citation

Pati, S., Verma, R., Akbari, H., Bilello, M., Hill, V.B., Sako, C., Correa, R., Beig, N., Venet, L., Thakur, S., Serai, P., Ha, S.M., Blake, G.D., Shinohara, R.T., Tiwari, P., Bakas, S. (2020). Reproducibility analysis of multi-institutional paired expert annotations and radiomic features of the Ivy Glioblastoma Atlas Project (Ivy GAP) dataset. Medical Physics TCIA Special Issue, In Press, 2020. DOI: https://doi.org/10.1002/mp.14556.



Info
titleTCIA Citation

Clark, K., Vendt, B., Smith, K., Freymann, J., Kirby, J., Koppel, P., Moore, S., Phillips, S., Maffitt, D., Pringle, M., Tarbox, L., & Prior, F. (2013). The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. Journal of Digital Imaging, 26(6), 1045–1057. https://doi.org/10.1007/s10278-013-9622-7


Other Publications Using This Data

TCIA maintains a list of publications which leverage TCIA data. If you have a manuscript you'd like to add please contact TCIA's Helpdesk.




Localtab
titleVersions
Version 

Version 1 (Current): Updated 2023/04/23

Data TypeDownload all or Query/FilterLicense

Images (NIfTI, 669 MB)

MNI MR/Segs (CWRU annotations only)


Tcia button generator
urlhttps://faspex.cancerimagingarchive.net/aspera/faspex/external_deliveries/373?passcode=5e86ea35c124b2567fd292fc093a4820e7ca1d9f

MNI faspex download

(Download and apply the IBM-Aspera-Connect plugin to your browser to retrieve this faspex package) 

Tcia cc by 3

Images (NIfTI, 469 MB)

SRI MR/Segs (UPenn & CWRU annotations)


Tcia button generator
urlhttps://faspex.cancerimagingarchive.net/aspera/faspex/external_deliveries/372?passcode=826864a1a25dad075f6e53578f37a6f868b0f2f5

SRI faspex download

(Download and apply the IBM-Aspera-Connect plugin to your browser to retrieve this faspex package) 

Tcia cc by 3

Subjects' Meta-data (csv, 7 KB)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/70222827/metadata.csv?api=v2



Tcia cc by 3

Radiomic Features and Reproducibility Evaluation on SRI data (zip, 17.2 MB)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/70222827/Multi-Institutional%20Paired%20Expert%20Segmentations%20Radiomic%20Features%20%20and%20Reproducibility%20Evaluation%20on%20SRI.zip?api=v2

Eval wiki download


Tcia cc by 3

Download location for some files moved from Box to Faspex. Data files not changed.


Version 1: Updated 2020/04/14


Data TypeDownload all or Query/Filter

Images (NIfTI, zip, 669 MB)

MNI MR/Segs (CWRU annotations only)

Images (NIfTI, zip, 469 MB)

SRI MR/Segs  (UPenn & CWRU annotations)

Subjects' Meta-data (csv, 7 KB)

Radiomic Features and Reproducibility Evaluation on SRI data (zip, 17.2 MB)





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