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Journal of Medical Imaging

Volume estimation of multidensity nodules with thoracic computed tomography
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Paper Abstract

This work focuses on volume estimation of “multidensity” lung nodules in a phantom computed tomography study. Eight objects were manufactured by enclosing spherical cores within larger spheres of double the diameter but with a different density. Different combinations of outer-shell/inner-core diameters and densities were created. The nodules were placed within an anthropomorphic phantom and scanned with various acquisition and reconstruction parameters. The volumes of the entire multidensity object as well as the inner core of the object were estimated using a model-based volume estimator. Results showed percent volume bias across all nodules and imaging protocols with slice thicknesses <5  mm ranging from −5.1% to 6.6% for the entire object (standard deviation ranged from 1.5% to 7.6%), and within −12.6% to 5.7% for the inner-core measurement (standard deviation ranged from 2.0% to 17.7%). Overall, the estimation error was larger for the inner-core measurements, which was expected due to the smaller size of the core. Reconstructed slice thickness was found to substantially affect volumetric error for both tasks; exposure and reconstruction kernel were not. These findings provide information for understanding uncertainty in volumetry of nodules that include multiple densities such as ground glass opacities with a solid component.

Paper Details

Date Published: 29 January 2016
PDF: 10 pages
J. Med. Img. 3(1) 013504 doi: 10.1117/1.JMI.3.1.013504
Published in: Journal of Medical Imaging Volume 3, Issue 1
Show Author Affiliations
Marios A. Gavrielides, U.S. Food and Drug Administration (United States)
Qin Li, U.S. Food and Drug Administration (United States)
Rongping Zeng, U.S. Food and Drug Administration (United States)
Kyle J. Myers, U.S. Food and Drug Administration (United States)
Berkman Sahiner, U.S. Food and Drug Administration (United States)
Nicholas A. Petrick, U.S. Food and Drug Administration (United States)

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