Summary
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As part of a more general effort to probe the interrelated factors impacting the accuracy and precision of lung nodule size estimation, we have been conducting phantom CT studies with an anthropomorphic thoracic phantom containing a vasculature insert on which synthetic nodules were inserted or attached. |
The utilization of synthetic nodules with known truth regarding size and location allows for bias and variance analysis, enabled by the acquisition of repeat CT scans. Using a factorial approach to probe imaging parameters (acquisition and reconstruction) and nodule characteristics (size, density, shape, location), ten repeat scans have been collected for each protocol and nodule layout. The resulting database of CT scans is incrementally becoming available to the public via The Cancer Imaging Archive (TCIA) to facilitate the assessment of lung nodule size estimation methodologies and the development of image analysis software among other possible applications.
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title | Detailed Description |
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Detailed Description
Collection Statistics | 08/04/2014 |
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Modalities | CT |
Number of Patients | 4 |
Number of Studies | 46 |
Number of Series | 2,633 |
Number of Images | 872,521 |
Image Size (GB) | 125.4 |
Database Description
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Marios Gavrielides
Division of Imaging Diagnostics and Software Reliability
Office of Science and Engineering Laboratories
Center for Devices and Radiological Health
U.S. Food and Drug Administration
10903 New Hampshire Ave.
Bldg. 62, Rm.3139
Silver Spring, MD 20993, USA
Tel. (301) 796-2545
marios.gavrielides@fda.hhs.gov
Appendix 1
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Figure 4. Schematic diagram of Nodule Layout#2 in terms of nodule placement.
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This collection may not be used for commercial purposes. This collection is freely available to browse, download, and use for 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:
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The Cancer Imaging Archive Team. Data From Phantom FDA. doi:10.7937/K9/TCIA.2015.ORBJKMUX |
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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. 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) |
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Other Publications Using This Data
See the Phantom FDA section on our Publications page for other work leveraging this collection. If you have a publication you'd like to add please contact the TCIA Helpdesk.
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Version 1 (Current): Updated 2014/08/04 |
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