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UFS PhD student wins Young Minds award at international symposium

10 November 2023 | Story André Damons | Photo SUPPLIED

Muthianzhele Ravuluma receives an award from Prof Sebastian Leuzinger from the Auckland University of Technology in New Zealand.

A PhD student from the University of the Free State (UFS) has won the International Society for Horticultural Science (ISHS) Young Minds award for the Best Paper and Best Poster Presentation during the 12th International Workshop on Sap Flow, which was held in Rotorua, New Zealand.

Muthianzhele Ravuluma from the Department of Soil, Crop, and Climate Science who is working on his PhD in Agrometeorology, presented a paper on “Sapflow Dynamics of Young and Mature Pomegranate Trees Under Irrigation” during the four-day symposium that took place between 30 October and 3 November 2023. Agrometeorology is the study of the soil, plant and atmosphere continuum. In simple terms, it is called agricultural meteorology, which is the study of the influence of weather and climate on agriculture.

Encourage do and learn more

“I feel thankful to being given an opportunity like this, and winning the award was a surprise. Still, I am happy and grateful for the support from my promoters and the Pomegranate Water Use Project members. This encourages me to do more and to learn more about new technologies in the field of agriculture,” he says.

Ravuluma travelled to New Zealand with his promotor Dr Phumudzo Tharaga to present his research and to learn from other researchers is the field. His research looks at the water use of pomegranate trees under irrigation in a Mediterranean climate.

A proud Dr Tharaga says he is happy to know that the guidance he has been giving to Ravuluma is fruitful and improving his academic and research capabilities. “I feel proud as a supervisor, which makes my dream come true of ensuring that all postgraduate students can showcase their work on international stages,” says Dr Tharaga.

Hosting next symposium

Together with Prof Rob Skelton from Wits University, they also successfully bid to host in the 13th International Sap Flow Workshop in South Africa – beating China and the US in the process. All three colleagues will collaborate as conveners of the workshop in South Africa during October/November 2026.

“It is an honour to be recognised and entrusted by the international community of scientists who would like to showcase their work in South Africa. As the convener of the conference, I am happy that it will be hosted in our country for the first time since the inception of the Sap Flow Working Group. Scientists and researchers in South Africa will be able to interact with their peers from different parts of the world,” concludes Dr Tharaga.

Dr Phumudzo Tharaga congratulates Muthianzhele Ravuluma on winning the prestigious award.

Dr Phumudzo Tharaga congratulates Muthianzhele Ravuluma on winning the prestigious award.

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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