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11 January 2021
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Story André Damons
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Photo Supplied
Dr Ralph Clark
The Afromontane Research Unit (ARU), the flagship research group of the University of the Free State (UFS) Qwaqwa Campus, has recently been granted R8,4 million to establish a Risk and Vulnerability Science Centre programme.
The Risk and Vulnerability Science Centre (RVSC) programme was established by the Department of Science and Innovation (DSI) as part of the Global Change Research Plan for South Africa and is funded by the DSI through the National Research Foundation (NRF). The RVSC will focus on the need to generate and disseminate knowledge about risk and vulnerability on global change challenges faced by local policy makers/ governance structures and communities in South Africa.
Invited to participate
Dr Ralph Clark, Director of the ARU, says the UFS, together with the University of Zululand and the Sol Plaatje University, has been invited to participate in Phase 2 of the RVSC programme. Dr Clark was approached by the DSI (on referral from the South African Environmental Observation Network – SAEON) in February 2020 regarding the potential for establishing a RVSC at the UFS Qwaqwa campus.
Subsequent interactions were held between the UFS and DSI, and in March 2020, the UFS formally accepted the DSI invitation. It has since been agreed that the RVSC: UFS will be hosted as a RVSC under the ARU umbrella, with dedicated personnel embedded at the UFS in this regard (internal processes and reporting) but reporting directly to the NRF regarding the RVSC.
Interest and support welcomed
Dr Clark welcomed this interest and support from the DSI-NRF, saying that the funds will further assist the UFS in growing its excellent and growing research portfolio and building more research capacity on this traditionally undergraduate-focused campus. “The RVSC will contribute to much-needed solutions in an area marked by major sustainability challenges and will assist in moving Phuthaditjhaba away from its negative apartheid history towards becoming a sustainable African mountain city,” says Dr Clark.
Mathematical methods used to detect and classify breast cancer masses
2016-08-10
Examples of Acho’s breast mass
segmentation identification
Breast cancer is the leading cause of female mortality in developing countries. According to the World Health Organization (WHO), the low survival rates in developing countries are mainly due to the lack of early detection and adequate diagnosis programs.
Seeing the picture more clearly
Susan Acho from the University of the Free State’s Department of Medical Physics, breast cancer research focuses on using mathematical methods to delineate and classify breast masses. Advancements in medical research have led to remarkable progress in breast cancer detection, however, according to Acho, the methods of diagnosis currently available commercially, lack a detailed finesse in accurately identifying the boundaries of breast mass lesions.
Inspiration drawn from pioneer
Drawing inspiration from the Mammography Computer Aided Diagnosis Development and Implementation (CAADI) project, which was the brainchild Prof William Rae, Head of the department of Medical Physics, Acho’s MMedSc thesis titled ‘Segmentation and Quantitative Characterisation of Breast Masses Imaged using Digital Mammography’ investigates classical segmentation algorithms, texture features and classification of breast masses in mammography. It is a rare research topic in South Africa.
Characterisation of breast masses, involves delineating and analysing the breast mass region on a mammogram in order to determine its shape, margin and texture composition. Computer-aided diagnosis (CAD) program detects the outline of the mass lesion, and uses this information together with its texture features to determine the clinical traits of the mass. CAD programs mark suspicious areas for second look or areas on a mammogram that the radiologist might have overlooked. It can act as an independent double reader of a mammogram in institutions where there is a shortage of trained mammogram readers.
Light at the end of the tunnel
Breast cancer is one of the most common malignancies among females in South Africa. “The challenge is being able to apply these mathematical methods in the medical field to help find solutions to specific medical problems, and that’s what I hope my research will do,” she says.
By using mathematics, physics and digital imaging to understand breast masses on mammograms, her research bridges the gap between these fields to provide algorithms which are applicable in medical image interpretation.