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Design and validation of biologically inspired spiculated breast lesion models utilizing structural tissue distortion

Gilat Schmidt, Taly, Lo, Joseph Y., Chen, Guang-Hong, Wilkinson, Louise, Wallis, Matthew G., Given-Wilson, Rosalind M., Mihalas, E., Dance, David R., Wells, Kevin, Young, Kenneth C. , Elangovan, P., Alnowami, Majdi R. and Cooke, V. (2018) Design and validation of biologically inspired spiculated breast lesion models utilizing structural tissue distortion In: SPIE Medical Imaging, 2018, 10-15 Feb 2018, Houston, Texas, United States.

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Abstract

The use of conventional clinical trials to optimise technology and techniques in breast cancer screening carries with it issues of dose, high cost and delay. This has motivated the development of Virtual Clinical Trials (VCTs) as an alternative in-silico assessment paradigm. However, such an approach requires a set of modelling tools that can realistically represent the key biological and technical components within the imaging chain. The OPTIMAM image simulation toolbox provides a complete validated end-to-end solution for VCTs, wherein commonly-found regular and irregular lesions can be successfully and realistically simulated. As spiculated lesions are the second most common form of solid mass we report on our latest developments to produce realistic spiculated lesion models, with particular application in Alternative Forced Choice trials. We make use of sets of spicules drawn using manually annotated landmarks and interpolated by a fitted 3D spline for each spicule. Once combined with a solid core, these are inserted into 2D and tomosynthesis image segments and blended using a combination of elongation, rotational alignment with background, spicule twisting and core radial contraction effects. A mixture of real and simulated images (86 2D and 86 DBT images) with spiculated lesions were presented to an experienced radiologist in an observer study. The latest observer study results demonstrated that 88.4% of simulated images of lesions in 2D and 67.4% of simulated lesions in DBT were rated as definitely or probably real on a six-point scale. This presents a significant improvement on our previous work which did not employ any background blending algorithms to simulate spiculated lesions in clinical images.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Gilat Schmidt, Taly
Lo, Joseph Y.
Chen, Guang-Hong
Wilkinson, Louise
Wallis, Matthew G.
Given-Wilson, Rosalind M.
Mihalas, E.
Dance, David R.
Wells, KevinK.Wells@surrey.ac.uk
Young, Kenneth C.
Elangovan, P.
Alnowami, Majdi R.
Cooke, V.
Date : 9 March 2018
DOI : 10.1117/12.2293421
Copyright Disclaimer : © (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Uncontrolled Keywords : Phantom; Lesion; Model; Simulation; Mammography
Related URLs :
Depositing User : Clive Harris
Date Deposited : 18 Sep 2018 07:30
Last Modified : 18 Sep 2018 07:38
URI: http://epubs.surrey.ac.uk/id/eprint/849308

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