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Proceedings Paper

Simulating solid lung nodules in MDCT images for CAD evaluation: modeling, validation, and applications
Author(s): Xiangwei Zhang; E. Olcott; Philippe Raffy; Naichang Yu; Haili Chui
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Paper Abstract

A new lung nodule simulation model was designed to create and insert synthetic solid lung nodules, with shapes and density similar to real nodules, into normal MDCT chest exams. Nodule shapes were modeled using linearly deformed superquadrics with added randomly generated high dimensional deformations. Nodule density statistics and attenuation profiles were extracted from a group of real nodule samples, by dissecting each real nodule digitally layer by layer from the border to the core. A nodule created with modeled shape and density was inserted into real CT images by creating volume average layers using weighted averaging between nodule density and background density for each voxel. The nodule simulation model was validated both subjectively by human experts and quantitatively by comparing density attenuation profiles of simulated nodules with real nodules. These validation studies demonstrated a high level of similarity between the synthetic nodules and real nodules. This nodule simulation model was used to create objective test databases for use in evaluating a CAD system. The evaluation study showed that the CAD system was accurate in detection and volume measurement for isolated nodules, and also performed relatively well for juxta-vascular nodules. The CAD system also demonstrated stable performances for different dosages.

Paper Details

Date Published: 29 March 2007
PDF: 8 pages
Proc. SPIE 6514, Medical Imaging 2007: Computer-Aided Diagnosis, 65140Z (29 March 2007); doi: 10.1117/12.709666
Show Author Affiliations
Xiangwei Zhang, Hologic/R2 (United States)
E. Olcott, Stanford School of Medicine (United States)
Philippe Raffy, Hologic/R2 (United States)
Naichang Yu, Hologic/R2 (United States)
Haili Chui, Hologic/R2 (United States)

Published in SPIE Proceedings Vol. 6514:
Medical Imaging 2007: Computer-Aided Diagnosis
Maryellen L. Giger; Nico Karssemeijer, Editor(s)

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