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06 October 2022 | Story Anthony Mthembu | Photo Kaleidoscope
Tobias van den Bergh
Tobias van den Bergh, President of the Southern African Association for Counselling and Development in Higher Education (SAACHDE)

Tobias van den Bergh, Counselling Psychologist at the University of the Free State, has been appointed as the President of the Southern African Association for Counselling and Development in Higher Education (SAACDHE).  The appointment became official at the annual SAACDHE conference, which took place in Pretoria from 12 to 14 September 2022. As such, van den Bergh perceives this appointment as an opportunity: “To be part of a creative process that tackles the challenges faced in higher education and knowing the difficulty that students and my colleagues across the country are struggling with, accepting this appointment felt right.”

The role of SAACDHE

“The organisation represents members of several higher education counselling and career development centres from the SADC region. The organisation’s mission is to promote, guide, and advance best practices in centres at institutions of higher education,” explained Van den Bergh. Through this representation and assistance, members are able to provide quality support to the students they serve. SAACDHE members include mental health professionals, social workers, HIV/AIDS counsellors, researchers, and career development specialists from more than 15 higher education institutions in South Africa and Botswana. Furthermore, Van den Bergh asserts that, “SAACDHE represents its members through lobbying for increased institutional support, the promotion of scholarly, ethical, and best practices, and the training and development of professionals.”

Van den Bergh as President of the organisation

 As the newly elected President of the organisation, there are several challenges that Van den Bergh believes require the immediate attention of SAACDHE.  For instance, he maintains that student populations and the mental health challenges they face have grown at a substantial rate over the past few decades. However, the staff capacity in counselling and career development centres has not increased commensurately. As such, the challenge in this regard is that the need for mental health interventions continues to grow, but the capacity is not sufficient to deal with those challenges and to fill the gap in public mental health services. To address this challenge, he indicates that “the organisation is striving to innovate counselling centres, and to find ways to work smarter and be preventative where possible”.

In addition, Van den Bergh is adamant about ensuring that the organisation continues to be innovative in the way mental health services are provided to students, and to create practices that are culturally and contextually relevant. However, his long-term vision for the organisation is, “to continue serving as a training, development, and practice-based organisation, so that we can equip members with support and knowledge that will help them to continue helping students in a smarter and better way”.

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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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