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07 December 2023 | Story Leonie Bolleurs | Photo CHARL DEVENISH
Dr Marié Herbst
Dr Marié Herbst received her PhD with specialisation in Design, titled The (S)Pace of Images: establishing a practice of the conscious abstraction of motion. She hopes that the techniques and processes explored in her research will spark creativity in the way other designers approach their work.

“My research has unveiled the exquisite patterns generated by motion in nature and everyday objects – patterns that often evade our awareness as we encounter motion in a fleeting moment. Abstraction plays a pivotal role in unveiling these exquisite yet largely unnoticed patterns that surround us.”

This is the perspective of Dr Marié Herbst, who graduated at the University of the Free State (UFS) in December, receiving her PhD with specialisation in Design, titled The (S)Pace of Images: establishing a practice of the conscious abstraction of motion.

Abstraction, a key component of building design

Dr Herbst says that the abstract art movement has had a profound influence on how designers think about design. “Highly regarded architects such as Le Corbusier and Zaha Hadid identify their practice of creating abstract paintings as the driving force behind their ground-breaking building designs. Abstraction is therefore a key component of building design, although the process of how it is applied has historically not received adequate attention. My research explores the way abstraction enables designers to include design information that is only possible through the process of abstraction. One such aspect is motion. Through the process of tracing and superimposing still images extracted from films, I can integrate them into a single picture that shows the progression of time,” she explains.

She hopes that the techniques and processes explored in her research will ignite creativity in how other designers approach their work. “The concepts and techniques outlined in my research are intended to prompt other designers to reconsider the procedures they employ when crafting spaces,” she states.

In the future, Dr Herbst says, she would like to further explore the ideas sparked by her research, such as determining how design would be affected by recording movement in a three-dimensional environment. “New technologies such as LiDAR make the recording of three-dimensional information much simpler, and it will increasingly become a part of our everyday lives. This is a potentially useful information stream that could be applied to create novel designs,” she says.

‘Practice-based’ versus ‘design-led’ research

Prof Jonathan Noble, Head of the Department of Architecture, says this is the very first PhD from the new creative research programme in architecture that was launched in 2018, where the student has completed a ‘design-led’ enquiry. 

He explains that the new creative programme differentiates between ‘practice-based’ research, closely tied to real-world architecture, where candidates analyse and study their previous work, and ‘design-led’ research, which is led by an entirely new creative exploration that encourage speculation and experimentation. According to him, the latter leads to a creative enquiry, and this body of new work is analysed and written about.

Following Prof Noble, postgraduate research in architecture in South Africa has traditionally centred around architectural theory, cultural history, urban studies, and conservation. Creative research methods, however, have not been as prominent. The Department of Architecture is addressing this by introducing new postgraduate research modes supported by innovative research degrees, marking a departure from the traditional approach in South Africa.

“We believe the programme will have a lasting and significant effect upon our professional degrees, injecting professional creativity and new thinking into the life of the department, and serving as an opportunity to look deeply into design and pedagogic practices. Over time, the programme will strengthen ties with the profession and address the closed mentalities of the so-called ‘academic ivory tower’.”

“In addition to providing emerging young scholars with opportunities, the programme facilitates the documentation of the unique qualities of South African practice and makes an important contribution to future research publication and teaching pedagogy at the UFS and beyond,” he says.

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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