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18 June 2020 | Story Nitha Ramnath | Photo Supplied
Mischke Bouwer.

Mischke Bouwer was recently awarded a Fulbright scholarship to study her PhD in Geoscience at the Southern Illinois University (SIU). The duration of the programme at SIU is five years, starting in August 2020.

Fulbright is a scholarship programme that recruits students from all over the world in any field of study to do their postgraduate studies in America. This is done through funding from Fulbright, together with the country's government and American universities. 

“This is not only a funding scholarship, but a supportive community! It really does feel like teamwork so far. The people from Fulbright ensure that the students feel as comfortable and enlightened as possible when leaving the country, and I am sure it will be the same when I arrive in America,” says Mischke.

Mischke considers herself an average girl who grew up in Pretoria; she enrolled at the UFS for a BSc in Geology from 2014 to 2016, followed by an Honours in Geology in 2017, and MSc in Soil Science. 
“I took a big chance by applying for a Fulbright scholarship but did not expect anything, as I felt I would never be good enough – but look where I am now,” says Mischke.

“I am speechless about the scholarship I received. There are many people I would like to thank who helped me along the way to achieve this scholarship. I would love this opportunity to thank all my lecturers from the UFS, both in the departments of Geology and Soil Science. Thanks to my supervisors for always believing in me. A special thanks to Prof Cornie van Huyssteen who was fully behind me, impacting my way of thinking, and teaching me a lot in two years.”

Mischke dedicates this scholarship to the late Prof Marian Tredoux, a true scientist and lecturer in the Department of Geology, who not only contributed greatly to the sciences, but truly impacted her students. “She inspired me to work hard and showed me an example of what a woman in science could be,” says Mischke.

She encourages students to apply for this scholarship, adding that there is nothing to lose. According to Mischke, students are much smarter than they would like to believe and should therefore always be mindful that their future is way brighter than they think.

“Make your role model YOU in 10 years and keep it that way! This way you always have someone to strive for!” says Mischke.

Mischke works on the absorption potential of arsenic and selenium in the field of environmental geochemistry and geochemical modelling. She hopes to return to South Africa with this knowledge and to make a difference in the remediation and rehabilitation of mines. 

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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