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25 May 2020 | Story Dr Ralph Clark | Photo Charl Devenish
Afromontane research area in the Eastern Free State.

Africa could be called ‘the continent of mountain archipelagos’ for the unusual fact that most of Africa's mountains are isolated ‘islands’ rather than linear, continuous mountain systems such as those in Asia (e.g. the Himalayas), Europe (e.g. the Alps), and the Americas (e.g. Rockies and Andes). Even in Southern Africa, where we have the linear Great Escarpment (5 000 km long), this system is so old that it has been breached in innumerable places by erosion into a series of independent mountain blocks.

The result of this mountain disconnection is that Africa's mountains display biodiversity patterns more akin to islands than to mountains: rich, exciting, and unique, and full of very localised and interesting species. Likewise, mountain communities have established and evolved unique cultural ways of life and traditions in their particular mountains – isolated from other groups on other mountains. But in some mountains, internecine warfare and tribal conflict caused mountains to become boundaries rather than welcoming places. This was certainly the case during the Mfecane in Southern Africa, ultimately leading to the birth of Lesotho as the ‘Mountain Kingdom’. Colonialism took this to a new level, and – for most of Africa – mountains became international borders between empires, splitting ethnic groups into several nationalities and marginalising large segments of the population in these new countries. This same geopolitical situation continues today, with major implications for the sustainable management of mountain ecosystem services, natural capital, and socio-cultural sustainability in multinational contexts.

The Afromontane Research Unit (ARU) – a continental leader in African mountain research – seeks to explore these socio-ecological complexities in terms of sustainable development, providing research that can help to secure a positive future for the people, biodiversity, and goods and services provided by Africa's mountains. As part of its mission, the ARU is leading the way in encouraging a multidisciplinary community of practice that will drive a science-policy-action interface for Southern African mountains in decades to come. As virtually all of Africa's water comes from its mountains, this is a critical service to a region increasingly at risk from drought and the socio-political implications of rivers and taps running dry. 

Although the Qwaqwa Campus is the home of the ARU, the ARU is welcoming affiliations from across the UFS and beyond. Should you wish to become affiliated to the ARU, please contact the Director, Dr Ralph Clark at ClarkVR@ufs.ac.za. Visit the new ARU's website 

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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