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21 June 2021 | Story Lacea Loader | Photo Kaleidoscope Studios (Sonia Small)
Prof Francis Petersen
Prof Francis Petersen
The Council of the University of the Free State (UFS) unanimously approved the re-appointment of Prof Francis Petersen for a second five-year term as Rector and Vice-Chancellor of the UFS, as from 31 March 2022 to 1 April 2027. The decision was made during Council’s second scheduled meeting for the year, which took place virtually on 18 June 2021.

Council appreciation for exceptional leadership
“Prof Petersen’s first term was characterised by exceptional leadership and the Council has significant appreciation for the work that he has done and his accomplishments to date. Since his appointment on 1 April 2017 and under his leadership, the UFS has excelled in a number of key areas,” said Dr Willem Louw, Chairperson of the UFS Council.

Excellence, inclusivity, innovation, academic freedom, a particular focus and emphasis on critical enquiry, social responsiveness, integrity, and humaneness have been the value trademarks by which Prof Petersen operates. Early in his term – through a well-structured, thought-through, and consultative approach – he produced the strategic framework for the UFS for the period 2018 to 2022, the key performance areas of which have been implemented in most cases or are nearing completion.

“Prof Petersen has put forward a compelling set of drivers for his second term and indicated that he specifically intends to focus on and elevate the teaching and learning, research and internationalisation, and engaged scholarship portfolios of the university. On behalf of the Council, I wish him all the best with the second term and look forward with great expectation to what he and his executive team will achieve to further advance the UFS nationally and internationally,” said Dr Louw.

“I am humbled and honoured by the expression of confidence in me; it is a privilege to  continue leading one of the greatest universities in the country on its new journey. I will continue to do my utmost to build a strong institution that belongs to everyone, and want to thank our staff, students, and valued stakeholders for their continued support,” said Prof Petersen.

Achievements during first term
The UFS’ achievements during Prof Petersen’s first term include the implementation of an Integrated Transformation Plan (ITP) (towards social justice); the UFS Strategic Plan (towards expanding the scope of transformation); the Vice-Chancellor Strategic Projects (towards a high-performance institution); the institutional Risk Management Committee (towards risk management and risk philosophy); and the institutional Multi-Stakeholder Group (towards an inclusive institutional culture).

Further highlights include the development of differentiated research, internationalisation, and innovation strategies for the UFS; the development of Project Caring in the domain of the Unit for Institutional Change and Social Justice; facilitating an institutional governance project; development of a strategy and plans for a Digital Scholarship Centre; the development of proactive relationships with the Department of Higher Education, Science and Innovation and the National Student Financial Aid Scheme (NSFAS); and the establishment of a Reputation Management Forum to assist in improving the reputation and profile of the UFS.

Vision for the second term
Prof Petersen’s vision for his second term includes the continuation of the ITP, with a primary focus on the social justice imperative and ensuring the completion of all the deliverables; using the sustainable development goals (SDGs) as basis of the response as to how the UFS will affect society positively; using digitisation as key focus in determining how the academic project will be delivered, supported and how it is interfacing with the external environment; raising the external profile of the UFS through alumni, foundations, donors, and strategic communication as critical drivers; and to continue participating and further advancing national and global discourses.




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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