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25 October 2023 | Story Dr Kwazi Magwenzi | Photo supplied
SANRAL Chair launch
The SANRAL Chair in Mathematics and Science , Prof Loyiso Jita with the Programme graduates, the PhD and Masters SANRAL Alumni at the event held on 28 September 2023 in Johannesburg, South Africa.

The South African Chapter of the South African National Roads Agency Limited (SANRAL) Chair alumni programme at the University of the Free State (UFS) was recently launched at the Silverstar Hotel and Casino in Johannesburg. The event aimed to showcase and celebrate the achievements made and lessons learnt in the programme, highlight the key elements and outputs to the Faculty of Education stakeholders and reimagine the future. The Faculty of Education has increased its footprint in Engaged Scholarship activities, aligning itself with the UFS Vision 130. Multiple stakeholders and community partners were invited to witness the outstanding achievements of this programme.

Since its inception in 2014, the SANRAL Chair has produced over 40 PhD graduates in three countries, namely South Africa, Lesotho, and Zimbabwe. One of the key goals of Vision 130 is for the UFS to be regionally engaged and to contribute to pressing societal needs. This involves knowledge generation that contributes to local and regional development and building sustainable partnerships. The PhD and Masters graduates have become a highly valued human resource in the South African education system and the region, and are now positioned as leaders in Institutions of higher learning in South Africa, Lesotho, and Zimbabwe.

The SANRAL Chair currently supervises a cohort of doctoral and master's students,  providing guidance in mathematical research and publications. The internship programme represents SANRAL's commitment to building skilled capacity in communities, along with driving social and economic transformation. SANRAL has also identified common challenges faced by Small, Medium, and Micro-sized Enterprises (SMMEs) in its projects and has implemented training programmes to address these issues. 

South Africa has implemented a range of programmes designed to achieve Sustainable Development Goal 1 (SDG 1), which includes land reform, agriculture, free higher education and growth. Despite the significant progress made on South Africa’s developmental journey since the advent of democracy in 1994, the country remains one of the most unequal societies in the world. Achieving the SDGs is, therefore, in South Africa’s best interest as the country pursues the vision of a united, non-racial, non-sexist, and prosperous nation living in harmony with itself and the rest of the world. 

As South Africa looks ahead to 2030, it seeks to build on the substantial progress achieved thus far, and on the robust policy, legislative, and planning foundation. The focus will be on consolidating and expanding the many areas where public welfare and development are at the forefront. 

News Archive

Mathematical methods used to detect and classify breast cancer masses
2016-08-10

Description: Breast lesions Tags: Breast lesions

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.

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