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Simulation of spiculated breast lesions

Elangovan, P, Alrehily, F, Ferrari Pinto, R, Rashidnasab, A, Dance, DR, Young, KC and Wells, K (2016) Simulation of spiculated breast lesions In: SPIE Medical Imaging, 2016-02-22 - 2016-03-03, San Diego.

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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.

Item Type: Conference or Workshop Item (Conference Paper)
Subjects : Electronic Engineering
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
Elangovan, P
Alrehily, F
Ferrari Pinto, R
Rashidnasab, A
Dance, DR
Young, KC
Wells, K
Date : 1 April 2016
Funders : CR-UK
DOI : 10.1117/12.2216227
Grant Title : Optimam2
Copyright Disclaimer : Copyright 2016. Society of Photo Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Contributors :
Kontos, D
Flohr, TG
Uncontrolled Keywords : Simulation, lesion, spicule, fractal, power law, Optimam, Virtual Clinical Trials
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 13 Sep 2016 09:55
Last Modified : 11 Dec 2018 11:22

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