Share Email Print
cover

Proceedings Paper

The creation of a public database of precision phantoms to facilitate the evaluation and standardization of advanced visualization and quantification software
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

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(R) 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.

Paper Details

Date Published: 13 March 2009
PDF: 8 pages
Proc. SPIE 7264, Medical Imaging 2009: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 726403 (13 March 2009); doi: 10.1117/12.814643
Show Author Affiliations
Joseph J. Chen, Univ. of Maryland School of Medicine (United States)
Naomi J. Saenz, VA Maryland Health Care System (United States)
Eliot L. Siegel, Univ. of Maryland School of Medicine (United States)
VA Maryland Health Care System (United States)


Published in SPIE Proceedings Vol. 7264:
Medical Imaging 2009: Advanced PACS-based Imaging Informatics and Therapeutic Applications
Khan M. Siddiqui; Brent J. Liu, Editor(s)

© SPIE. Terms of Use
Back to Top