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Localtab Group


Localtab
activetrue
titleData Access

Data Access

Tcia head license access


Data TypeDownload all or Query/Filter
Images and Radiation Therapy Structures (DICOM, 1.4 GB)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/37224702/MRI-DIR-06-30-2018-doiJNLP-1UmgA3nc.tcia?version=1&modificationDate=1534787062144&api=v2



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




(Download requires the NBIA Data Retriever)

Tcia restricted license

Deformation Vector Fields (MATLAB)


Tcia button generator
labelSearch
urlhttps://app.box.com/s/w9d6njvgf5z68waveq47c0xfsf9ffw6a



Tcia cc by 3

Click the Versions tab for more info about data releases.


Localtab
titleDetailed Description

Detailed Description

Collection Statistics


Modalities

CT, MR, RTSTRUCT, Matlab

Number of Patients

9

Number of Studies

25

Number of Series

61

Number of Images

3596

Image Size (GB)1.4

Supporting Documentation

Rachel B. Ger,Jinzhong Yang,Yao Ding,  Megan C. Jacobsen,  Carlos E. Cardenas,  Clifton D. Fuller,Rebecca M. Howell,  Heng Li,  R. Jason Stafford,  Shouhao Zhou,  Laurence E. Court. (2018) Synthetic head and neck and phantom images for determining deformable image registration accuracy in magnetic resonance imaging. Medical Physics. DOI: 10.1002/mp.13090


Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy 

Tcia limited license policy

Info
titleData Citation

Rachel B. Ger, Jinzhong Yang, Yao Ding, Megan C. Jacobsen, Carlos E. Cardenas, Clifton D. Fuller, Rebecca M. Howell, Heng Li, R. Jason Stafford, Shouhao Zhou, Laurence E. Court (2018). Data from Synthetic and Phantom MR Images for Determining Deformable Image Registration Accuracy (MRI-DIR). The Cancer Imaging Archive. DOI: 10.7937/K9/TCIA.2018.3f08iejt


Info
titlePublication Citation

Rachel B. Ger,Jinzhong Yang,Yao Ding,  Megan C. Jacobsen,  Carlos E. Cardenas,  Clifton D. Fuller,Rebecca M. Howell,  Heng Li,  R. Jason Stafford,  Shouhao Zhou,  Laurence E. Court. (2018) Synthetic head and neck and phantom images for determining deformable image registration accuracy in magnetic resonance imaging. Medical Physics. DOI: 10.1002/mp.13090


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. DOI: 10.1007/s10278-013-9622-7

Other Publications Using This Data

TCIA maintains a list of publications which leverage our data. At this time we are not aware of any publications based on this data. If you have a publication you'd like to add please contact the TCIA Helpdesk.



Localtab
titleVersions

Version 1 (Current): Updated 2018/06/30

Data TypeDownload all or Query/Filter
Images (DICOM,  1.4 GB)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/37224702/MRI-DIR-06-30-2018-doiJNLP-1UmgA3nc.jnlp?version=1&modificationDate=1530371992607&api=v2



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



(Download requires the NBIA Data Retriever)

Deformation Vector Fields (MATLAB)


Tcia button generator
labelSearch
urlhttps://app.box.com/s/w9d6njvgf5z68waveq47c0xfsf9ffw6a






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