Breast CT image simulation framework for optimisation of lesion visualisation

Diaz, Oliver, Elangovan, P, Wells, Kevin, Enshaeifar, Shirin, Veale, MC, Wilson, MD, Seller, P, Cernik, R and Pani, Silvia (2014) Breast CT image simulation framework for optimisation of lesion visualisation In: Nuclear Science Symposium and Medical Imaging Conference 2013, 2013-10-27 - 2013-11-02, Seoul.

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Abstract

Although X-ray mammography is the gold standard technique for breast cancer detection, it suffers from limitations due to tissue superposition which could either obscure or mimic a breast lesion. Dedicated breast computed-tomography (BrCT) represents an alternative technology with the potential to overcome these limitations. However, this technology is still under investigation in order to study and improve certain parameters (e.g. dose, scattered radiation, etc.). In this work, an image simulation framework is proposed to generate realistic BrCT images and spectral imaging analysis is explored to enhance the contrast of breast lesions. Results illustrated an improvement in contrast between 5 and 10% when the final image is reconstructed using X-ray photons with energies between 21 and 30 keV, in comparison with the reconstructed image from the polychromatic energy spectrum recorded within the image receptor. © 2013 IEEE.

Item Type:	Conference or Workshop Item (Conference Paper)
Divisions :	Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :	Name Email ORCID Diaz, Oliver oliver.diaz@surrey.ac.uk Elangovan, P Wells, Kevin K.Wells@surrey.ac.uk Enshaeifar, Shirin s.enshaeifar@surrey.ac.uk Veale, MC Wilson, MD Seller, P Cernik, R Pani, Silvia S.Pani@surrey.ac.uk
Date :	12 June 2014
DOI :	10.1109/NSSMIC.2013.6829158
Copyright Disclaimer :	© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Contributors :	Contribution Name Email ORCID http://www.loc.gov/loc.terms/relators/PBL IEEE,
Depositing User :	Symplectic Elements
Date Deposited :	07 Oct 2014 13:48
Last Modified :	16 Jan 2019 16:53
URI:	http://epubs.surrey.ac.uk/id/eprint/806229

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