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27 July 2020 | Story Nonsindiso Qwabe | Photo Charl Devenish
Ronet Vrey.

She is affectionately called ‘Tannie Ronet’ by the dozens of students coming her way, and Faculty of Education librarian Ronet Vrey would not have it any other way. While Vrey loves to remain behind the scenes, her passion for students makes her a big hit with every student crossing her path at the University of the Free State Library and Information Services on the Bloemfontein Campus. 

Vrey has been a librarian for as long as she can remember; a path she says was inspired by her educator mother. But instead of standing in front of a class, she gets to invest in students' academic journeys by being a helping hand in times of need. She is a UFS alumna, having graduated in 1988 with a degree in Library and Information Sciences, specialising in Education, Library Services, and Technology. 

"I was interested in library information services because back then, we were exploring the use of computers and moving in the direction of technology. Little did we know about digitisation and curation that would follow."

In 2005, she started working as librarian for the Faculty of the Humanities, before working jointly for the Faculties of the Humanities and Education. Since 2011, she has focused solely on the Faculty of Education, serving as the link between the library and the faculty. "I am supposed to focus only on students from the first year to honours level, but because of the relationships built there, many students often choose to stay with me. When they come to me for help, I don't say no," she says.

Information literacy a lifelong skill

Vrey shares the love for her job with her fellow librarians from other faculties. In 2019, the group presented a paper on embedded librarianship at the International Conference on Information Literacy (ICIL). She said they are in the process of having their paper published. "We want to be embedded in faculties in order to make students at the UFS information literate. If we can teach students information literacy skills to help themselves, we will have lifelong learners who can develop all the time, and you would have established a community of lifelong learners," she said.

One student who has benefited from Vrey's dedication and passion for students, is Dr Norma Lehasa, who obtained her PhD in 2019 after a seven-year journey due to ill health.

Vrey known as beacon of hope

Lehasa met Vrey in 2016, and says she owes her success to the likes of Vrey. Lehasa said each year when students graduate, it is people like Vrey who are supporting them behind the scenes to reach their goals. 

"My wonderful librarian, Ronet, made me focus and never give up. She used to go the extra mile for me, even teaching me how to use the resources to search for literature myself. The outcome of me being a Doctor of Philosophy today is because of people like Ronet. People like her need to be recognised for the good work that they do," Lehasa said.
Lehasa's PhD topic was: An Adult Learning Perspective on Professional Development in the Human Resources Department of the Free State Premier.

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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