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03 November 2022 | Story Leonie Bolleurs | Photo Supplied
Dr Liezel Rudolph
Dr Liezel Rudolph, a lecturer in the Department of Geography, recently returned from an expedition to Gough Island in the South Atlantic Ocean, where she was involved in research that aims to better understand the landscape evolution of some subantarctic islands and their response to long-term climate change.

A study of subantarctic islands tells us that, in general, the Southern Hemisphere is experiencing a rise in temperature, with an increase in rainfall in some locations, and other areas becoming drier. The annual temperature and rainfall average remain the same in some places, but there is a change in seasonality and synoptic weather events.

This is according to Dr Liezel Rudolph, a lecturer in the Department of Geography at the University of the Free State (UFS). She recently returned from an expedition to Gough Island in the South Atlantic Ocean, supported by the South African National Department of Forestry, Fisheries and the Environment, the National Research Foundation, and the Royal Society for the Protection of Birds.

This teacher of modules on Process Geomorphology and fieldwork techniques at the UFS, says the objective of her work on the island was to do a geomorphological survey of the island and explore the suitability of geochronological dating techniques on the island’s substrate. 

She explains that with geochronological methods one can determine the age of rock material as well as the rate of landscape change on the island. “In other words, dating when the volcano was formed and determining how long it takes for weathering to break down the rock material, and erosional processes to remove soil material.”
 
The research she is involved in, forms part of a SANAP-NRF-funded project, Sub-Antarctic Landscape Climate Interactions, which aims to better understand the landscape evolution of some subantarctic Islands and their response to long-term climate change. 

Studying the past to understand the present

According to her, studying landscape change enables one to better understand climate change over a long period of time. 

She states that the more regions are investigated, the clearer the picture of climate change will become. “The Earth is a large, complex system. By studying climate change in one location, one cannot simply assume that the same type and rate of change is occurring everywhere else. It would be like imaging a 1 000-piece puzzle by building with 10 pieces. The Southern Hemisphere is predominantly ocean, which makes it difficult to pin down land-atmosphere interactions – but the subantarctic islands give us the opportunity to create data points for the Southern Hemisphere, which would otherwise be a very large missing piece of the puzzle,” explains Dr Rudolph.

She says the interaction between ocean, atmosphere, and land remains complex and it is important to study the entire picture in order to fully understand how this is happening. Especially since the climate is changing at a drastic rate.

Dr Rudolph, whose research at the UFS is focused on constraining the last glaciation of subantarctic Marion Island though various proxies and dating techniques, says the subantarctic islands are very sensitive to changes in climate. 

A clearer picture of climate change

She was part of previous expeditions to the island. Although all these expeditions had different goals, according to her, they all aimed to answer the same questions, which are how the island’s landscape has developed throughout history and what the climatic drivers were during its evolution. 

“The landscape responds to changes in temperature and precipitation. Under colder, wetter conditions – when the island’s surface is subject to a freeze-thaw process – a range of peri-glacial landforms will develop. These landforms will still be evident in the landscape years later under a different climate, for example, warmer or drier conditions. We can study these landforms in real-time and establish whether they are actively forming or are relict features that formed under different climatic environments,” remarks Dr Rudolph.

The research, which is taking place in collaboration with the British Antarctic Survey, is co-led by Prof Werner Nel from the University of Fort Hare, and Prof David Hedding from the University of South Africa. 

• Dr Rudolph is grateful to the Government of Tristan da Cunha, which is responsible for managing the conservation of Gough Island, for permitting them to do scientific work on the island. 

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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