Latest News Archive

Please select Category, Year, and then Month to display items
Years
2019 2020 2021
Previous Archive
20 July 2020 | Story Leonie Bolleurs | Photo Supplied
The view from one of the offices in the Marion Island research station, with fresh snowfall in the interior of the island in the background.

Liezel Rudolph, lecturer and researcher in the Department of Geography at the University of the Free State (UFS), is strongly convinced that the Southern Hemisphere’s past glacial cycles will provide valuable insights to help predict and prepare for future climate change. Climate is changing fast and the magnitude of change we have seen over the last 30 years has taken a hundred or several hundred years to occur in the past. 

It is not only temperatures that are rising, but changes in wind patterns, rain cycles, oceanic circulation, etc., are also observed. As we do not know how the earth will respond or adapt to such rapid and drastic changes in climatic patterns, this poses various threats.

Link between landscape responses and climate change

Rudolph focuses her research on reconstructing the past climate of Marion Island. 

She had the wonderful opportunity to visit the island for the past three years with study and project leaders, Profs Werner Nel from the University of Fort Hare and David Hedding from UNISA, she departed on a ship to Marion Island to conduct fieldwork.They published their research findings of fieldwork conducted in 2017 and 2018.  

According to Rudolph, research in Antarctica, the Southern Ocean, and islands such as Marion Island is very important. South Africa is the only African country with research stations that have the ability to explore these regions.

“Marion Island has many landforms that could only have been created by glacial erosional or depositional processes, with glaciers currently absent from the island. To determine when the island was last in a full glacial period, we date the formation ages of these landforms.”

“In the short time we have been visiting the island, it was impossible to notice any drastic changes in the island climate. That is why we use these very old landforms to tell us more about periods before humans visited the island,” she says. 

Rudolph believes that understanding the link between landscape responses and climate change of the past can help to better predict some of the climate change processes that are currently threatening the planet.

“There’s a principle in geography called ‘uniformitarianism’, whereby we assume that the earth-surface processes we observe today, are the same as those that have been active in the past,” says Rudolph.

As scientists, they thus look at evidence of past geomorphic processes (which remain in the landscape in various forms, e.g. residual landforms, stratigraphic sequences, etc.) to piece together what the past climate was like. In the same way, they also use this principle to predict how certain earth processes will change in the future, along with climate changes.

“In return, we understand how the climate and the earth’s surface interact, and we can better predict how the earth will respond to climate change,” Rudolph adds. 

Society to play its part in climate change

In the long run, we as the public should play our part in readying society for the effects of climate change. 

Rudolph says society can play a positive role in terms of climate change by educating themselves with unbiased, scientifically sound information on the true state of climate change and by responding within their own spheres of influence.

“Don’t leave everything up to politicians and policy. As the public, you can start to make progress by assessing the effects that climate change may have on your industry, business or society, and strategise on how to adapt your processes to deal with these changes.”

“Be responsible with our natural resources, reduce your waste, support local businesses that are sustainable, and volunteer at a local environmental protection/clean-up organisation. All the small efforts will eventually add up to substantial change,” she says. 

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.

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