In order to validate CT imaging as a biomarker, it is important to ascertain the variability and artifacts associated with
various forms of advanced visualization and quantification software. The purpose of the paper is to describe the
rationale behind the creation of a free, public resource that contains phantom datasets for CT designed to facilitate
testing, development and standardization of advanced visualization and quantification software. For our research, three
phantoms were scanned at multiple kVp and mAs settings utilizing a 64-channel MDCT scanner at a collimation of 0.75
mm. Images were reconstructed at a slice thickness of 0.75 mm and archived in DICOM format. The phantoms
consisted of precision spheres, balls of different materials and sizes, and slabs of Last-A-Foam<sup>(R)</sup> at varying densities.
The database of scans is stored in an archive utilizing software developed for the National Cancer Imaging Archive and
is publically available. The scans were completed successfully and the datasets are available for free and unrestricted
download. The CT images can be accessed in DICOM format via http or FTP or utilizing caGRID. A DICOM database
of phantom data was successfully created and made available to the public. We anticipate that this database will be
useful as a reference for physicists for quality control purposes, for developers of advanced visualization and
quantification software, and for others who need to test the performance of their systems against a known "gold"
standard. We plan to add more phantom images in the future and expand to other imaging modalities.