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  • Synthetic and Phantom MR Images for Determining Deformable Image Registration Accuracy (MRI-DIR)

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Summary

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delay5
locationhttps://www.cancerimagingarchive.net/collection/mri-dir/

Excerpt

Two sets of images were created to evaluate deformable image registration accuracy. The first set contains CT, T1-, and T2-weighted images from a porcine phantom. The phantom was implanted with ten 0.35 mm gold markers and then immobilized in a plastic container with movable dividers. The porcine phantom was compressed in 4 different ways and images were acquired in each position. The markers were visible on the CT scans but not the MR scans due to the selected voxel size. Therefore, the markers do not interfere with the registration between MR images and the marker locations can be obtained from the CT images to determine accuracy. The second set of images are synthetic images derived from 28 head and neck squamous cell carcinoma patients who had pre-, mid-, and post-radiotherapy treatment MR scans. From these patients, inter- and intra-patient models were created. Four synthetic pre-treatment images were created by using the inter-patient model on a selected template patient. Four synthetic post-treatment images were created for each synthetic pre-treatment image using the intra-patient model.

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



Localtab Group


Localtab
activetrue
titleData Access

Data Access

Click the Download button to save a ".tcia" manifest file to your computer, which you must open with the NBIA Data Retriever. Click the Search button to open our Data Portal, where you can browse the data collection and/or download a subset of its contents.

Tcia head license access

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


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 ParticipantsPatients

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 

 This collection is freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License.  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 this data set:

Tcia limited license policy

Info
titleData Citation

Rachel Ger, R.B. Ger, Jinzhong Yang, J., Yao Ding, Megan Y., Jacobsen, M.C. Jacobsen, Cardenas, Carlos C.E. Cardenas, Fuller, Clifton C.D. Fuller, Howell, Rebecca R.M. Howell, Heng Li, H., Stafford, R. J. Jason Stafford, Shouhao Zhou, Laurence ES., & Court, L. (2018). Data from Synthetic and Phantom MR Images for Determining Deformable Image Registration Accuracy (MRI-DIR) (Version 1). The Cancer Imaging Archive. DOI: https://doi.org/10.7937/K9/TCIA.2018.3f08iejt


Info
titlePublication Citation

Rachel Ger, R. B. Ger, Jinzhong Yang, Yao J., Ding,   Megan Y., Jacobsen, M. C. Jacobsen,  Carlos , Cardenas, C. E. Cardenas,  Clifton , Fuller, C. D. Fuller, Howell, Rebecca R. M. Howell,   Heng Li,   H., Stafford, R. Jason StaffordJ.,   Shouhao Zhou,   Laurence ES., & Court, L. E. (2018). Synthetic head and neck and phantom images for determining deformable image registration accuracy in magnetic resonance imaging. In Medical Physics . DOI: (Vol. 45, Issue 9, pp. 4315–4321). Wiley. https://doi.org/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.  (2013). The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, . In Journal of Digital Imaging , Volume (Vol. 26, Number Issue 6, December, 2013, pp 1045-1057. DOI: pp. 1045–1057). Springer Science and Business Media LLC. https://doi.org/10.1007/s10278-013-9622-7 PMCID: PMC3824915

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's 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)Image Removed Image Removed

Deformation Vector Fields (MATLAB)


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