29 March 2007 Simulating solid lung nodules in MDCT images for CAD evaluation: modeling, validation, and applications
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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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiangwei Zhang, Xiangwei Zhang, E. Olcott, E. Olcott, Philippe Raffy, Philippe Raffy, Naichang Yu, Naichang Yu, Haili Chui, Haili Chui, } "Simulating solid lung nodules in MDCT images for CAD evaluation: modeling, validation, and applications", Proc. SPIE 6514, Medical Imaging 2007: Computer-Aided Diagnosis, 65140Z (29 March 2007); doi: 10.1117/12.709666; https://doi.org/10.1117/12.709666

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