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18 April 2019 | Story Eugene Seegers | Photo Stephen Collett
Prof Chris Hermans
Prof Chris Hermans, extraordinary professor at the UFS, presents his inaugural lecture, titled Theology in an Age of Contingency.

“The road ahead is empty / It’s paved with miles of the unknown.”

Prof Chris Hermans quoted these lines from the song The Road Ahead, by Dutch vocal group City to City to introduce his inaugural lecture in the Faculty of Theology and Religion on 27 February 2019. Prof Hermans, a veteran researcher in pastoral theology, empirical, and practical religious studies at the Radboud University Nijmegen in the Netherlands and an extraordinary professor at the UFS, chose as his theme Theology in the Age of Contingency, stating that the uncertainty of life has affected all disciplines in the academy, from the sciences, philosophy, and pedagogy, to theology itself.

Although contingency is often defined as a “future event ... which is possible but cannot be predicted with certainty” (Oxford English Dictionary), Prof Hermans stated that, in the context of theology, it has more to do with complexity, unpredictability, coexistence of cultures, and an increasing number of decisions people need to make in modern-day life. 

Changing lanes

Prof Hermans recounted a memory from his childhood to illustrate some aspects of contingency: “Growing up, my parents told me to cycle on the right side of the road. They knew what the right side was. Everything had a right side: What norms and values to live by, what was right or wrong, when to pray and which words to use. ... We now live in a different world.”

Prof Hermans’ inaugural lecture reflected on four tasks of practical theology and missiology. He further asserted that the content and aim of these tasks change from the perspective of contingency.

Contingency perspectives

From a sociological perspective, said Prof Hermans, contingency is a characteristic of the age of modernisation in which we live. He stated that in the modern age, people have a much greater choice of individual ‘action options’ as well as a growing number of experiences as a result. Expounding on this, he said, “The fact that I am a Christian, and another person Hindu or Muslim, is largely due to the fact that I was born within a Christian family. The fact that I am Christian is a possibility and an actuality, but not a necessity.”

Prof Hermans also helped listeners to understand other areas in which contingency plays a role, such as the binary logic used when determining modalities of truth, or changing world views and philosophies of being, or even in our ethos, our art of living, and outlook on life.

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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