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Proceedings Paper

Micro CT based truth estimation of nodule volume
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Paper Abstract

With the advent of high-resolution CT, three-dimensional (3D) methods for nodule volumetry have been introduced, with the hope that such methods will be more accurate and consistent than currently used planar measures of size. However, the error associated with volume estimation methods still needs to be quantified. Volume estimation error is multi-faceted in the sense that there is variability associated with the patient, the software tool and the CT system. A primary goal of our current research efforts is to quantify the various sources of measurement error and, when possible, minimize their effects. In order to assess the bias of an estimate, the actual value, or "truth," must be known. In this work we investigate the reliability of micro CT to determine the "true" volume of synthetic nodules. The advantage of micro CT over other truthing methods is that it can provide both absolute volume and shape information in a single measurement. In the current study we compare micro CT volume truth to weight-density truth for spherical, elliptical, spiculated and lobulated nodules with diameters from 5 to 40 mm, and densities of -630 and +100 HU. The percent differences between micro CT and weight-density volume for -630 HU nodules range from [-21.7%, -0.6%] (mean= -11.9%) and the differences for +100 HU nodules range from [-0.9%, 3.0%] (mean=1.7%).

Paper Details

Date Published: 9 March 2010
PDF: 8 pages
Proc. SPIE 7624, Medical Imaging 2010: Computer-Aided Diagnosis, 762414 (9 March 2010); doi: 10.1117/12.844381
Show Author Affiliations
L. M. Kinnard, U.S. Army Medical Research and Material Command (United States)
M. A. Gavrielides, U.S. Food and Drug Administration (United States)
K. J. Myers, U.S. Food and Drug Administration (United States)
R. Zeng, U.S. Food and Drug Administration (United States)
B. Whiting, Washington Univ. in St. Louis (United States)
S. Lin-Gibson, National Institute of Standards and Technology (United States)
N. Petrick, U.S. Food and Drug Administration (United States)

Published in SPIE Proceedings Vol. 7624:
Medical Imaging 2010: Computer-Aided Diagnosis
Nico Karssemeijer; Ronald M. Summers, Editor(s)

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