Latest News Archive

Please select Category, Year, and then Month to display items
Previous Archive
13 June 2024 | Story Martinette Brits | Photo Supplied
Arran Wood pictured with Prof Jan Smith
Arran Wood pictured with Prof Jan Smith, Senior Lecturer at the Department of Architecture, in front of his project.

A former Master’s student in Architecture at the University of the Free State (UFS) has recently been honoured with the esteemed Corobrik National Student Architecture Award. The 2023 grand prize was awarded to Arran Wood from UFS for his project "Spectral Flesh – Remembrance," which explores South Africa's forgotten nuclear history.

Corobrik’s vision for this competition is to provide up-and-coming architecture students a platform to showcase their architectural talent and creativity. The eight finalists were chosen by major South African universities, each selecting its best Master’s architectural student to participate in the awards.

The eight regional finalists had the opportunity to present their theses to an esteemed panel of judges, including Carin Smuts from CS Studio Architects, Somers Govender from Artek 4 Architects and Rudolf Roos from HDG Pretoria.

Unveiling forgotten conflict: Architecture as a mediator and reminder

Wood’s project delves into the role architecture can play as a mediator and reminder of forgotten conflicts. “The Angola-South African War left extensive scars and remains a raw place in the lives of many South Africans. Yet the memory and memorialisation of the conflict have become a shrouded spectre. One of the most obscured fallouts of the war was the fact that South Africa managed to construct nuclear weapons and became the first nation to decommission their nuclear arsenal voluntarily,” Wood explained.

The thesis proposes a theoretical foundry and “inverted monument” at the forgotten nuclear weapons development site at Pelindaba near Hartbeesport Dam. He chose this project due to his interest in the relationship between architecture and memory, particularly the memory of warfare. “I wanted to focus my research on something specific to South Africa. I settled on the Angola-South African War because its fallout is still a relevant struggle that many people deal with, yet it remains largely unspoken. This led me to discover how intimately the nuclear weapons programme was connected to the conflict,” Wood stated. 

Awards pave the way to success

Wood mentioned that he had known about the prestigious Corobrik Awards early in his studies but only realised later that one winner is chosen to represent the whole country. “Winning the national award still feels a bit unreal. From prior experience, I have seen how the award's prestige follows the winners long into their careers, standing as a significant achievement. It is a great honour to be considered one of these winners, and I am very grateful for the lasting recognition the award brings to my career.”

He credited the lecturers and staff at the Department of Architecture for their significant role in his success. “They taught me what I know, and it was most inspiring to see their passion for architecture. The support from the lecturers at this incredible department goes far beyond their job descriptions,” he remarked.

Wood also won the Dean’s Medal for the best results in the final-year Master’s class during the April graduation ceremonies of UFS. He is currently working for an architectural firm in Cape Town, named TwoFiveFive Architects

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.

We use cookies to make interactions with our websites and services easy and meaningful. To better understand how they are used, read more about the UFS cookie policy. By continuing to use this site you are giving us your consent to do this.

Accept