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27 March 2018 Photo Thabo Kessah
Afromontane Research Unit welcomes new Director
Newly-appointed Afromontane Research Unit Director, Dr Vincent Clark.

The newly-appointed Director of the Afromontane Research Unit (ARU) on the Qwaqwa Campus, Dr Vincent Clark, is a true believer in risk-taking as a way of improving one’s life.

“Taking risks grows one’s confidence and experience, and at the right time the right door will open,” he asserts.

Dr Clark has his foundation in Geography and Botany; in 1998, he graduated with a BSc degree majoring in these two subjects, and he also has an Honours degree (1999) in Geography and Environmental Management; both degrees were obtained at the University of Johannesburg (the then Rand Afrikaans University).
 
“Then in 2010, I graduated with a PhD in Phytogeography at Rhodes University.  My PhD was followed up by several postdoctoral fellowships from Rhodes University and one at the University of Zürich between 2010 and 2016. I was privileged to become a lead academic in Professor Nigel Barker’s Great Escarpment Biodiversity Research Programme,” said Dr Clark, who is currently enjoying a good read of John Hunt’s The Ascent of Everest and Spiritual Leadership by Henry and Richard Blackaby.

He envisions the ARU as the continental leader in African mountain research, with an immediate focus on the sustainable development of the Maloti-Drakensberg.
 
“My immediate plans for the ARU team are to grow a strong network of between 60 odd researchers and postgraduates, and to connect them with the regional mountain-research community. Short-term plans include fostering stronger ARU links with the Swiss mountain-research community, encouraging the Japan collaboration, and an ARU-hosted Regional Mountain Conference.”

 “Longer-term plans are to develop the ARU into the leading African mountain-research group and for the ARU to become a leading South-based agent informing the global mountain-research arena,” he added.

Dr Clark has very strong words for the academia. “Academia must always guard against becoming a community of ‘yes men’ for external political or social agendas. As academics, we have a duty to discover and present the truth, regardless of how unpopular that might be. We are in serious danger of losing our academic mandate when we simply become a rubber stamp for untested politically-correct assumptions and agendas. If we ever needed bold academics to expose the plethora of ‘Emperors New Clothing’ currently on parade, it’s today.”

This family man and father of a one-year old son, loves the outdoor life. His hobbies include birding, hiking, swimming, surfing, and reading Louis L’Amour and Hammond Innes.

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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