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  • Glioma DSC-MRI Perfusion Data with Standard Imaging and ROIs (QIN-BRAIN-DSC-MRI)

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Summary

Excerpt
Coming soon.

About the NCI QIN

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 Quantitative Imaging Network Collections page. Interested investigators can apply to the QIN at: Quantitative Imaging for Evaluation of Responses to Cancer Therapies (U01) PAR-11-150.

Acknowledgements

We would like to acknowledge the individuals and institutions that have provided data for this collection: Medical College of Wisconsin, Milwaukee, Wisconsin. Special thanks to Kathleen Schmainda, Ph.D. and Melissa Prah, Department of Radiology, Division of Imaging Science.


Localtab Group

 

 

 

 

Localtab
activetrue
titleData Access

Data Access

This is a limited access data set. To request access, please contact help@cancerimagingarchive.net. Once access is granted, you

THIS IS A LIMITED-ACCESS COLLECTION

Summary

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<Insert additional Summary information here> 

<Insert information about relevant initiatives outside TCIA (see the the various TCGA collection wiki pages>

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can view and download these images on

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The Cancer Imaging Archive (TCIA) by logging in and selecting the

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QIN-BRAIN-DSC-MRI

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collection.

Data TypeDownload all or Query/Filter
Images (DICOM, 30.5 GB) Image Added

Click the Versions tab for more info about data releases.

Localtab
titleDetailed Description

Detailed Description

 

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Collection Statistics

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updated 20150825)

Modalities

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MR

Number of Patients

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49

Number of Studies

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52

Number of Series

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343

Number of Images

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107,538

Images Size (GB)30.5

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If you are unsure how to download this collection, please view Searching by Collection or refer to TCIA's User's Guide for more detailed instructions on using the site.

Related Data

<Insert verbiage about related data and attachments, links, etc.>

<Add notes about subject identifiers and dates>

 

 

Acknowledgements

We would like to acknowledge the individuals and institutions that have provided data for this collection:

  • Medical College of Wisconsin, Milwaukee, Wisconsin. Special thanks to Kathleen Schmainda, Ph.D. and Melissa Prah, Department of Radiology, Division of Imaging Science.

.

Acquisition Sequences

Patient Description

Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy 

This is a limited access data set. Upon receiving access you may only use it for the purposes outlined in your request to the data provider. You are not allowed to redistribute the data or use it for other purposes.  See TCIA's Data Usage Policies and Restrictions for additional details. Questions may be directed to help@cancerimagingarchive.net.

Please be sure to include the following citations in your work if you use the data set:

 

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. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. (paper)

Info
titlePublication Citation

Primary paper citation coming soon.

 

Other Publications Using This Data

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

Localtab
titleVersions

Version 1 (Current): Updated 20150825

Data TypeDownload all or Query/Filter
Images (DICOM, 30.5 GB) Image Added

 

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