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Frater Celebration Day Hybrid Conference to be held on 5 May 2022

04 May 2022

Robert Frater — The research efforts in the Department of Cardiothoracic Surgery in the Faculty of Health Sciences, UFS, have come a long way since the establishment of a homograft bank, animal research, and laboratory-based research on cardioplegia by Prof Hannes Meyer in the 1980s

Several world-class scientists and academics in the field of cardiovascular research will converge at the University of the Free State (UFS) on Thursday (5 May 2022) for a one-day hybrid conference to explore and celebrate the massive strides made in this critical field at the UFS Robert W M Frater Cardiovascular Research Centre.

The research efforts in the Department of Cardiothoracic Surgery in the Faculty of Health Sciences, UFS, have come a long way since the establishment of a homograft bank, animal research, and laboratory-based research on cardioplegia by Prof Hannes Meyer in the 1980s. Renewed interest in 2004 under the leadership of Prof Francis E Smit culminated in the establishment of the Robert W M Frater Cardiovascular Research Centre (the Frater Centre) in 2015. This was made possible through donor funding, especially by Dr Robert W M Frater MD PhD (honoris causa, UFS), a South Africa-born New York-based cardiothoracic surgeon, researcher and innovator as infrastructure and project support by the UFS.

The vision of the Frater Centre is to be a leading cardiovascular research institution in South Africa and sub-Saharan Africa. It provides an interdisciplinary training and research platform for scientists and clinicians from different backgrounds to develop as researchers and collaborators in cardiovascular and thoracic surgery and related domains. Activities are focused on the development of African solutions for African problems.

Three main divisions
The Frater Celebration day will highlight the achievements made thus far in a hybrid format in four sessions, which can be attended on a virtual platform or in person. The centre’s local and international collaborators will participate in the programme, and Dr Ronnie van der Merwe, the Group CEO of Mediclinic International, is the guest of honour.

The Frater Centre consists of three main divisions, all of which will form part of the focus of the conference programme in various forms during the day:

1) The Clinical Research Division addresses cardiovascular disease on a broad front, ranging from population and prevalence studies, healthcare solutions and clinical outcomes studies in a specific South African and African context.

2) The Research, Development and Commercialisation division is divided into Tissue Engineering and Cell Biology, Tissue Banking and Large Animal studies, and bioengineering to develop African solutions and technology within these domains.

3) The Simulation Programme provides an integrated interdisciplinary platform for the education and training of individuals and teams in cardiovascular, thoracic, anaesthetic, perfusion technology and related nursing fields in a state-of-the-art simulation unit. The research centre is developing a unique and leading programme and systems in this field. This endeavour is also developing IT models for training, evaluation and research.

The Frater Centre and 4IR
The Centre is firmly established in the fourth industrial revolution. It is new technology-driven, creating new IT platforms and boasts extensive interdisciplinary projects at the biomedical sector's local, national, and international levels.

It is essential to note that the extensive and successful collaboration within the Frater Centre not only exists on institutional level but also nationally and internationally. These collaborators assist, mentor, direct and contribute to the research activities.

Click: Link to the event
Event programme

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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