Paper
2 March 2012 Realistic simulation of breast mass appearance using random walk
Alaleh Rashidnasab, Premkumar Elangovan, David R. Dance, Kenneth C. Young, Mary Yip, Oliver Diaz, Kevin Wells
Author Affiliations +
Abstract
The aim of the present work was to develop a method for simulating breast lesions in digital mammographic images. Based on the visual appearance of real masses, three dimensional masses were created using a 3D random walk method where the choice of parameters (number of walks and number of steps) enables one to control the appearance of the simulated structure. This work is the first occasion that the random walk results have been combined with a model of digital mammographic imaging systems. This model takes into account appropriate physical image acquisition processes representing a particular digital X-ray mammography system. The X-ray spectrum, local glandularity above the insertion site and scatter were all taken account during the insertion procedure. A preliminary observer study was used to validate the realism of the masses. Seven expert readers each viewed 60 full field mammograms and rated the realism of the masses they contained. Half of the images contained real, histologically-confirmed masses, and half contained simulated lesions. The ROC analysis of the study (average AUC of 0.58±0.06) suggests that, on the average, there is evidence that the radiologists could distinguish, somewhat, between real and simulated masses.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alaleh Rashidnasab, Premkumar Elangovan, David R. Dance, Kenneth C. Young, Mary Yip, Oliver Diaz, and Kevin Wells "Realistic simulation of breast mass appearance using random walk", Proc. SPIE 8313, Medical Imaging 2012: Physics of Medical Imaging, 83130L (2 March 2012); https://doi.org/10.1117/12.911641
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Cited by 5 scholarly publications.
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KEYWORDS
Breast

Mammography

Image processing

Digital mammography

Monte Carlo methods

Tissues

Computer simulations

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