Summary
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| location | https://www.cancerimagingarchive.net/collection/lung-phantom/ |
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The FDA anthropomorphic thorax phantom with 12 phantom lesions of different sizes (10 and 20 mm in effective diameter), shapes (spherical, elliptical, lobulated, and spiculated), and densities (−630,−10, and +100 HU) was scanned at Columbia University Medical Center on a 64-detector row scanner (LightSpeed VCT, GE Healthcare, Milwaukee, WI). The CT scanning parameters were 120 kVp, 100 mAs, 64x0.625 collimation, and pitch of 1.375. The images were reconstructed with the lung kernel using 1.25 mm slice thickness. |
This data set was provided to TCIA for use in the National Cancer Institute's Quantiatitive Imaging Network (QIN) Lung CT Segmentation Challenge. A TCIA Analysis Result dataset was created to enable easy re-use of the complete multi-site challenge data set.
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.
Data Access
Imaging Data
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| title | Data Access |
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| Data Access
| Data Type | Download all or Query/Filter | License |
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| Images (DICOM, 127.5 MB) |
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| url | https://wiki.cancerimagingarchive.net/download/attachments/19038256/TCIA_Lung_Phantom_06-22-2015.tcia?version=2&modificationDate=1601061652295&api=v2 |
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| Download Lung Phantom |
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| label | Search |
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| url | https://nbia.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&CollectionCriteria=Lung Phantom |
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| Search Lung Phantom |
(Download requires the NBIA Data Retriever) | | | DICOM Metadata Digest (CSV, 28 kB) |
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| url | https://wiki.cancerimagingarchive.net/download/attachments/19038256/LungPhantom_MetaData.csv?version=1&modificationDate=1495563917555&api=v2 |
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Click the Versions tab for more info about data releases. | Nci_crdc additional resources |
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Third Party Analyses of this DatasetTCIA encourages the community to publish your analyses of our datasets. Below is a list of such third party analyses published using this Collection: |
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| You can view and download these images on The Cancer Imaging Archive (TCIA) by clicking Search TCIA and selecting the Lung Phantom collection. |
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Participants | 1 | Number of Studies | 1 | Number of Series | 1 | Number of Images | 237 |
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| title | Citations & Data Usage Policy |
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| Citations & Data Usage Policy | Tcia limited license policy |
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| Info |
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| 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 (Vol. 26, Issue 6, 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 |
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If you are unsure how to download this collection, please view Searching by Collection or refer to our TCIA's User's Guide for more detailed instructions on using the site.
Shared Lists
- None available at this time.
Note: See Section 3.7 of TCIA User Guide for help with shared lists.
Supporting Documentation and Metadata
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| Version 2 (Current): Updated 2020/09/25 | Data Type | Download all or Query/Filter |
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| CT(127.5 MB) |
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| url | https://wiki.cancerimagingarchive.net/download/attachments/19038256/LungPhantom_MetaData.csv?version=1&modificationDate=1495563917555&api=v2 |
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| label | Search |
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| url | https://www.cancerimagingarchive.net/nbia-search/?CollectionCriteria=Lung%20Phantom |
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(Download requires the NBIA Data Retriever) | | DICOM Metadata Digest (CSV) |
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| url | https://wiki.cancerimagingarchive.net/download/attachments/19038256/LungPhantom_MetaData.csv?version=1&modificationDate=1495563917555&api=v2 |
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| 9/25/2020: Adjusted this table and *.tcia manifest files to remove segmentations built in Multi-site collection of Lung CT data with Nodule Segmentations. DOI: https://doi.org/10.7937/K9/TCIA.2015.1BUVFJR7 . Note that the "Search" will take you to both until you uncheck the "Include third party" button. Version 1: Updated 2014/08/26(deprecated) |
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