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Proceedings Paper

Improved precision of repeat image change measurement of pulmonary nodules using moment-based z-compensation on a zero-change dataset
Author(s): Artit C. Jirapatnakul; Anthony P. Reeves; Alberto M. Biancardi; David F. Yankelevitz; Claudia I. Henschke
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Paper Abstract

CT scanners often have higher in-plane resolution than axial resolution. As a result, measurements in the axial direction are less reliable than measurements in-plane, and this should be considered when performing nodule growth measurements. We propose a method to measure nodule growth rates by a moment-based algorithm using the central second order moments for the in-plane directions. The interscan repeatability of the new method was compared to a volumetric measurement method on a database of 22 nodules with multiple scans taken in the same session. The interscan variability was defined as the 95% confidence interval of the relative volume change. For the entire database of nodules, the interscan variability of the volumetric growth method was (-52.1%, 30.1%); the moment-based method improved the variability to (-34.2%, 23.3%). For the 11 nodules with scans of the same slice thickness between scans, the variability of the volumetric growth method was (24.0%, 30.1%), compared to (-12.4%, 12.7%) for the moment-based method. The 11 nodules with scans of different slice thickness had a variability for the volumetric method of (-68.4%, 30.2%) and for the moment-based method, (-46.5%, 24.4%). The moment-based method showed improvement in interscan variability for all cases. This study shows promising preliminary results of improved repeatability of the new moment-based method over a volumetric method and suggests that measurements on scans of the same slice thickness are more repeatable than on scans of different slice thickness. The 11 nodules with the same slice thickness are publicly available.

Paper Details

Date Published: 3 March 2009
PDF: 9 pages
Proc. SPIE 7260, Medical Imaging 2009: Computer-Aided Diagnosis, 72601P (3 March 2009); doi: 10.1117/12.811046
Show Author Affiliations
Artit C. Jirapatnakul, Cornell Univ. (United States)
Anthony P. Reeves, Cornell Univ. (United States)
Alberto M. Biancardi, Cornell Univ. (United States)
David F. Yankelevitz, Weill Medical College, Cornell Univ. (United States)
Claudia I. Henschke, Weill Medical College, Cornell Univ. (United States)


Published in SPIE Proceedings Vol. 7260:
Medical Imaging 2009: Computer-Aided Diagnosis
Nico Karssemeijer; Maryellen L. Giger, Editor(s)

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