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Optimization of CT images for breast cancer screening using spectral imaging.

Alumuku, Liambee (2019) Optimization of CT images for breast cancer screening using spectral imaging. Masters thesis, University of Surrey.

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About 1.7 million new cases of breast cancer were estimated by the World Health Organization (WHO) in 2012, accounting for 23 percent of all female cancers. In the UK 33 percent of women aged 50 and above were diagnosed in the same year, thus positioning the UK as the 6th highest in breast cancer amongst the European countries. The national Screening programme in the UK has been focused on the procedure of early detection and to improve prognosis by timely intervention to extend the life span of patients. To this end, the National Health Service Breast Screening Programme (NHSBSP) employs 2-D planar mammography because it is considered to be the gold standard technique for early breast cancer detection worldwide. Breast tomosynthesis has shown great promise as an alternative method for removing the intrinsic overlying clutter seen in conventional 2D imaging. However, preliminary work in breast CT has provided a number of compelling aspects that motivates the work featured in this thesis. These advantages include removal of the need to mechanically compress the breast which is a source of screening non-attendances, and that it provides unique cross sectional images that removes almost all the overlying clutter seen in 2D. This renders lesions more visible and hence aids in early detection of malignancy. However work in Breast CT to date has been focused on using scaled down versions of standard clinical CT systems. By contrast, this thesis proposes using a photon counting approach. The work of this thesis focuses on investigating photoncounting detector technology and comparing it to conventional CT in terms of contrast visualization. Results presented from simulation work developed in this thesis has demonstrated the ability of photoncounting detector technology to utilize data in polychromatic beam where contrast are seen to decrease with increasing photon energy and compared to the conventional CT approach which is the standard clinical CT system.

Item Type: Thesis (Masters)
Divisions : Theses
Authors : Alumuku, Liambee
Date : 28 June 2019
Funders : Tertiary Education Trust Fund (TETFund), Nigeria
DOI : 10.15126/thesis.00851849
Contributors :
ContributionNameEmailORCID, Kevin, Nigeria
Depositing User : Liambee Alumuku
Date Deposited : 03 Jul 2019 07:23
Last Modified : 03 Jul 2019 07:30

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