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Proceedings Paper

Quantitative CT: technique dependency of volume assessment for pulmonary nodules
Author(s): Baiyu Chen; Samuel Richard; Huiman Barnhart; James Colsher; Maxwell Amurao; Ehsan Samei
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Paper Abstract

Current lung nodule size assessment methods typically rely on one-dimensional estimation of lesions. While new 3D volume assessment techniques using MSCT scan data have enabled improved estimation of lesion size, the effect of acquisition and reconstruction parameters on accuracy and precision of such estimation has not been adequately investigated. To characterize such dependencies, we scanned an anthropomorphic thoracic phantom containing synthetic nodules with different protocols, including various acquisition and reconstruction parameters. We also scanned the phantom repeatedly with the same protocol to investigate repeatability. The nodule's volume was estimated by a clinical lung analysis software package, LungVCAR. Accuracy (bias) and precision (variance) of the volume assessment were calculated across the nodules and compared between protocols via Generalized Estimating Equation analysis. Results suggest a strong dependence of accuracy and precision on dose level but little dependence on reconstruction thickness, thus providing possible guidelines for protocol optimization for quantitative tasks.

Paper Details

Date Published: 22 March 2010
PDF: 9 pages
Proc. SPIE 7622, Medical Imaging 2010: Physics of Medical Imaging, 76222W (22 March 2010); doi: 10.1117/12.845493
Show Author Affiliations
Baiyu Chen, Duke Univ. (United States)
Samuel Richard, Duke Univ. (United States)
Huiman Barnhart, Duke Univ. (United States)
James Colsher, Duke Univ. (United States)
Maxwell Amurao, Duke Univ. (United States)
Ehsan Samei, Duke Univ. (United States)


Published in SPIE Proceedings Vol. 7622:
Medical Imaging 2010: Physics of Medical Imaging
Ehsan Samei; Norbert J. Pelc, Editor(s)

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