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Proceedings Paper

Simulation of spiculated breast lesions
Author(s): Premkumar Elangovan; Faisal Alrehily; R. Ferrari Pinto; Alaleh Rashidnasab; David R. Dance; Kenneth C. Young; Kevin Wells
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Paper Abstract

Virtual clinical trials are a promising new approach increasingly used for the evaluation and comparison of breast imaging modalities. A key component in such an assessment paradigm is the use of simulated pathology, in particular, simulation of lesions. Breast mass lesions can be generally classified into two categories based on their appearance; nonspiculated masses and spiculated masses. In our previous work, we have successfully simulated non-spiculated masses using a fractal growth process known as diffusion limited aggregation. In this new work, we have extended the DLA model to simulate spiculated lesions by using features extracted from patient DBT images containing spiculated lesions. The features extracted included spicule length, width, curvature and distribution. This information was used to simulate realistic looking spicules which were attached to the surface of a DLA mass to produce a spiculated mass. A batch of simulated spiculated masses was inserted into normal patient images and presented to an experienced radiologist for review. The study yielded promising results with the radiologist rating 60% of simulated lesions in 2D and 50% of simulated lesions in DBT as realistic.

Paper Details

Date Published: 22 March 2016
PDF: 5 pages
Proc. SPIE 9783, Medical Imaging 2016: Physics of Medical Imaging, 97832E (22 March 2016); doi: 10.1117/12.2216227
Show Author Affiliations
Premkumar Elangovan, Univ. of Surrey (United Kingdom)
Faisal Alrehily, Univ. of Surrey (United Kingdom)
R. Ferrari Pinto, Univ. of Surrey (United Kingdom)
Alaleh Rashidnasab, Univ. of Surrey (United Kingdom)
Univ. College London (United Kingdom)
David R. Dance, Univ. of Surrey (United Kingdom)
The Royal Surrey County Hospital (United Kingdom)
Kenneth C. Young, Univ. of Surrey (United Kingdom)
The Royal Surrey County Hospital (United Kingdom)
Kevin Wells, Univ. of Surrey (United Kingdom)

Published in SPIE Proceedings Vol. 9783:
Medical Imaging 2016: Physics of Medical Imaging
Despina Kontos; Thomas G. Flohr, Editor(s)

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