Latest News Archive

Please select Category, Year, and then Month to display items
Previous Archive
25 November 2019 | Story Leonie Bolleurs | Photo Supplied
Bennie
Bennie Botha brings another element of teaching to the classroom for future healthcare professionals. Here, he facilitates a session with students from the School of Nursing.

These days we are surrounded by technology. Interactive whiteboards, 3-D printers, smartphones, laptops, e-books, and virtual reality (VR).

VR was previously associated with the gaming industry, but today it has many uses, including the healthcare industry and more specifically, the field of nursing. 

A staff member in the School of Nursing at the University of the Free State (UFS), Bennie Botha, explains that he always had a fascination with VR. With VR being more affordable to the general user and with him working in the School of Nursing, he wanted to make a difference by providing a more financially sustainable way for students to integrate theory and practical work. 

It was then that Botha, in collaboration with staff from the Department of Computer Science and Informatics and the School of Nursing, developed a virtual environment to train Nursing students as part of his master’s thesis. The title of his dissertation is: Measuring the usability and user experience of virtual reality as a teaching and learning method for nursing students. His supervisor, Dr Lizette de Wet of the Department of Computer Science and Informatics, said the cooperation between two disciplines is important. “This research can make a big contribution towards teaching and learning,” she said. 
 
Adding to existing technology-rich environment

This simulation in a computer-generated environment adds another element to teaching. Instead of only listening to a lecturer, students are immersed in a relevant teaching scenario and are able to interact within a 3D medical institution, treating and taking care of 3D patients. 

The UFS School of Nursing has implemented this first for South Africa, using VR as an instrument to train nursing students. Currently, third-year students and postgraduate Paediatrics students are exposed to this way of training.

This new invention for the School of Nursing adds to the already existing technology-rich environment of the Clinical Simulation Unit within the school; a facility where healthcare students are exposed to training in a safe environment without harming the patient, using high-fidelity patient manikins.

Cost-effective simulation platform

According to Botha, VR provides a cost-effective simulation platform that can be used to augment high-fidelity simulations. “It is also a low-cost alternative for institutions that do not have the capital to implement high-fidelity simulations. By implementing new innovative teaching methods, we aim to provide quality healthcare professionals who can showcase the educational excellence of the School of Nursing at the UFS,” says Botha. 

Rector content

Rector and Vice-Chancellor, Prof Francis Petersen, visited the School of Nursing and engaged in the simulator-based game.
(Photo: Supplied)


He explains the process: “Virtual reality provides students with an opportunity to learn by engaging in a simulator-based game. The virtual environment requires the students to perform a respiratory foreign-body object simulation scenario. Before each virtual simulation session, students are briefed and given the relevant outcomes of the scenario. Students also receive a quick tutorial on the use of the controllers and the head-mounted display.”

“Once a session is complete, a debriefing session is held where students can reflect on the outcome of the simulation. They can view a recording of their own actions for self-reflection afterwards.”

Botha believes the VR environment he created for Nursing students contributes to the Fourth Industrial Revolution, giving the UFS a competitive edge in new developments and the use of innovative teaching and learning technology. 




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