Latest News Archive

Please select Category, Year, and then Month to display items

2019 Matriculant of the Year hails from Polokwane

03 October 2019 | Story Eugene Seegers | Photo Charl Devenish

Pieter Hoogenboezem with his proud parents, dad Hans and mom Eldi, and Prof Francis Petersen, Rector and Vice-Chancellor of the UFS.

Photo Gallery

At a gala event held on the University of the Free State (UFS) Bloemfontein Campus, on 28 September 2019, the top 14 entrants in the 39th UFS-Volksblad Matriculant of the Year competition were given an opportunity to share their vision with invited guests.

In his introductory speech, Pieter Hoogenboezem, deputy head boy of Pietersburg High School in Polokwane, Limpopo, said: “I think the Matriculant of the Year should strive to do their best in everything they attempt, and they should be good at communicating with others.” Pieter will be studying medicine at the UFS next year. He was crowned the winner of the 2019 Matriculant of the Year competition and also received the Sparkling Personality award, as decided by his fellow finalists.

Pieter says of this achievement: “I am humbled and so blessed with the talents my heavenly Father has given me. I believe that the training and knowledge that I will receive at the UFS will empower me to make a worthwhile contribution to the medical field and society at large. It is going to be a great privilege for me to make Kovsies proud and to move others to become part of this university that promotes transformation, diversity, and inclusivity!”

Several other prizes were also awarded during the evening. Mandie de Wet from the Hoër Meisieskool Oranje in Bloemfontein walked away with the prize for best achievement in sport for her prowess on the hockey field, and Runé Edeling (Eunice High School) was rewarded for her accomplishments in dressage on a national level, as well as her extensive scientific knowledge and ability shown at the Eskom Expo, the Eskom Science Fair, and an international science expo in Arizona, USA. Each of these winners received R5 000 from the Kovsie Alumni Trust.

Dr Pieter Rademan, Matriculant of the Year 2009, had this to say to the finalists — many of whom will start studying next year to become doctors: “I’m delighted to see that so many here are interested in medicine; there is a desperate need for more doctors and good doctors in the country.” Using an example from the Norsemen, he told the matriculants: “Despite being shipbuilders and seafarers, the Vikings would set fire to their ships when they reached their destination.” He said this ensured that they would be motivated to overcome difficulties before rebuilding their vessels to continue the voyage. He exhorted: “Burn your ships! Calm seas do not make for good sailors. Get out of your comfort zone and get comfortable with being uncomfortable.”

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.

Back

Economic and Management Sciences

Education

Health Sciences

The Humanities

Law

Natural and Agricultural Sciences

Theology and Religion

Open Distance Learning

Business School

We use cookies to make interactions with our websites and services easy and meaningful. To better understand how they are used, read more about the UFS cookie policy. By continuing to use this site you are giving us your consent to do this.

Accept