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RIDER-PHANTOM-MRI - The Cancer Imaging Archive (TCIA)
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RIDER-PHANTOM-MRI


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The Cancer Imaging Archive

RIDER PHANTOM MRI | RIDER PHANTOM MRI

DOI: 10.7937/k9/tcia.2015.mi4qddhu | Data Citation Required | Image Collection

Location Species Subjects Data Types Cancer Types Size Status Updated
Phantom Human 10 MR Phantom 3.6GB Public, Complete 2011/11/09

Summary

The RIDER Phantom MRI data set contains repeat phantom studies. The phantom used for all data acquisitions was a version of the EuroSpin II Test Object 5 as distributed by Diagnostic Sonar, Ltd (Livingston, West Lothian, Scotland). The phantom was comprised of 18 25-mm doped gel filled tubes and 1 20-mm tube containing 0.25 mM GdDTPA.

Scanners evaluated:

  • Scanner A – 1.5T GE 8-channel HD with BRM gradient subsystem (33 mT/m amplitude; 120 T/m-s)
  • Scanner B – 1.5T GE 8-channel HD with CRM gradient subsystem (50 mT/m amplitude; 150 T/m-s)
  • Scanner C – 1.5T Siemens Espree (VB13) with 33 mT/m amplitude, 100 T/m-s gradient subsystem
  • Scanner D – 3.0T GE 8-channel HD with TwinSpeed gradients (40 mT/m; 150 T/m-s in zoom mode) For all measurements, an 8-channel phased array head coil was used.

About the RIDER project

The Reference Image Database to Evaluate Therapy Response (RIDER) is a targeted data collection used to generate an initial consensus on how to harmonize data collection and analysis for quantitative imaging methods applied to measure the response to drug or radiation therapy.  The National Cancer Institute (NCI) has exercised a series of contracts with specific academic sites for collection of repeat "coffee break," longitudinal phantom, and patient data for a range of imaging modalities (currently computed tomography [CT] positron emission tomography [PET] CT, dynamic contrast-enhanced magnetic resonance imaging [DCE MRI], diffusion-weighted [DW] MRI) and organ sites (currently lung, breast, and neuro). The methods for data collection, analysis, and results are described in the new Combined RIDER White Paper Report (Sept 2008):

The long term goal is to provide a resource to permit harmonized methods for data collection and analysis across different commercial imaging platforms to support multi-site clinical trials, using imaging as a biomarker for therapy response. Thus, the database should permit an objective comparison of methods for data collection and analysis as a national and international resource as described in the first RIDER white paper report (2006):

Data Access

Version 1: Updated 2011/11/09

Title Data Type Format Access Points Subjects Studies Series Images License
Images MR DICOM
Download requires NBIA Data Retriever
10 13 45 7,061 CC BY 3.0
DICOM Metadata Digest CSV 10 45 CC BY 3.0
Data Acquisition Details and Measurement Summary PDF CC BY 3.0
Data Key PDF CC BY 3.0
Related Datasets
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Citations & Data Usage Policy

Data Citation Required: Users must abide by the TCIA Data Usage Policy and Restrictions. Attribution must include the following citation, including the Digital Object Identifier:

Data Citation

Jackson, Edward F. (2015). RIDER PHANTOM MRI [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/k9/tcia.2015.mi4qddhu  

Detailed Description

Related Publications

Publications by the Dataset Authors

The authors recommended this paper as the best source of additional information about this dataset:

  • Jackson EF, Barboriak DP, Bidaut LM, Meyer CR. Magnetic resonance assessment of response to therapy: tumor change measurement, truth data and error sources.  Translational Oncology 2(4):211-5, 2009. https://doi.org/10.1593/tlo.09241

No publications by dataset authors were found.

Publication Citation

Jackson EF, Barboriak DP, Bidaut LM, Meyer CR. Magnetic resonance assessment of response to therapy: tumor change measurement, truth data and error sources.  Translational Oncology 2(4):211-5, 2009. https://doi.org/10.1593/tlo.09241

Research Community Publications

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

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 TCIA’s Helpdesk.