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16 January 2024 | Story Leonie Bolleurs
Scie-Ed building

The university is transforming its campus with state-of-the-art infrastructure development. We are creating spaces that foster learning, empower groundbreaking research, and offer an enriching university experience.

UFS Sasol Library

The UFS has been hard at work to move away from traditional library spaces towards creating tech-enhanced, flexible environments that are dynamic for teaching and learning. According to Jeannet Molopyane, Director of Library and Information Services, they strive to align their spaces with global best practices with the infrastructure changes.

Centre for Mineral Biogeochemistry

The Centre for Mineral Biogeochemistry – completed in February 2023 – integrates seamlessly with its surrounding environment, while also providing a new collaborative workspace for the centre’s personnel. This state-of-the-art facility boasts various laboratories which were mainly funded by the Department of Science and Innovation (DSI). The CMBG includes, among other initiatives, the Mineral Node of the Biogeochemistry Research Infrastructure Platform (BIOGRIP), an initiative of the DSI. This space is situated next to the existing Microbiology Building on the Bloemfontein Campus. 

University Estates Building

For this repair and renovation project, with a construction theme, internal and external materials were selected for their low-maintenance qualities. The first office, located opposite the entrance door, features cladding with exposed galvanised corrugated iron. A new steel mezzanine level was installed and painted in ‘CAT’ yellow and black. All pipes, including plumbing and electrical, are exposed on wall surfaces. The use of internal exposed brickwork, concrete floors, and oriented strand board in ceilings and cupboards further accents this quality in the completed project. 

Animal Research Centre

The Animal Research Centre on the Qwaqwa Campus, replaced the temporary structure that previously served as animal housing. The new structure complies with the requirements and standards for a research facility and caters to the needs of researchers and animals, including small and large rodents. The exterior materials used complement those of the surrounding buildings, providing a low-maintenance profile. The building, accessible to persons with disabilities, contains two research laboratories, an ecotoxicology laboratory, a veterinarian’s office, and a procedure room.

South Campus 24/7 Study Space

The shift to extended programmes and dramatic increase in student enrolment on the South Campus created the need for additional study areas. Considering the steep site outcrop and the existing pedestrian routes from the lower campus, the design explored building blocks that progressively staggered up the hill to accommodate a small amphitheatre study area, maximising seating capacity. This allows the building to accommodate the site’s steepness rather than ignore it. The final design provides study spaces on three levels, all accessible via a ramp, with the main functions situated on the primary level. This design also ensures accessibility for all users, including those with disabilities.

KovsieGear

Incline Architects has designed a new innovative space on the Thakaneng Bridge on the Bloemfontein Campus to accommodate the expansion of the KovsieGear outlet. This new design incorporates extra retail space along with additional room for administration work. The KovsieGear shop now features a new aesthetic, created with natural materials to complement the UFS colours.

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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