DocumentCode :
686729
Title :
Breast CT image simulation framework for optimisation of lesion visualisation
Author :
Diaz, Orlando ; Elangovan, Premkumar ; Enshaeifar, S. ; Veale, Matthew C. ; Wilson, Matthew D. ; Seller, Paul ; Cernik, Robert ; Pani, Silvia ; Wells, Kevin
Author_Institution :
Centre for Vision, Speech & Signal Process., Univ. of Surrey, Guildford, UK
fYear :
2013
fDate :
Oct. 27 2013-Nov. 2 2013
Firstpage :
1
Lastpage :
5
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.
Keywords :
cancer; computerised tomography; image reconstruction; medical image processing; optimisation; tumours; BrCT; X-ray mammography; X-ray photons; breast CT image simulation framework; dedicated breast computed tomography; electron volt energy 21 keV to 30 keV; image receptor; image reconstruction; lesion visualisation; optimisation; polychromatic energy spectrum; spectral imaging analysis; tissue superposition; Breast; Detectors; Geometry; Lesions; Phantoms; Photonics; X-ray imaging; Dedicated breast CT; contrast improvement; detector technology; image simulation; spectral analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2013 IEEE
Conference_Location :
Seoul
Print_ISBN :
978-1-4799-0533-1
Type :
conf
DOI :
10.1109/NSSMIC.2013.6829158
Filename :
6829158
Link To Document :
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