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12 October 2020
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Story Arina Engelbrecht
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Photo Supplied
Arina Engelbrecht from Organisational Development and Employee Well-being believes physical activity has a number of benefits for one’s health, including stress relief.
Being physically active plays a big role in preventing the development of mental-health problems and in improving the quality of life of people experiencing mental-health problems.
Treatment for depression
Physical activity can be an alternative treatment for depression. It can be used as a stand-alone treatment or in combination with medication and/or psychological therapy. It promotes all kinds of changes in the brain, including neural growth, reduced inflammation, and new activity patterns are formed that promote feelings of calm and well-being. It releases endorphins – powerful chemicals in the brain that energise your spirit and make you feel good.
Physical activity can be very effective in relieving stress. Research in adults has found that physically active individuals tend to have lower stress levels compared to individuals who are less active. It also leads to improved sleep. When a person sleeps better and feels more rested, overall quality of life improves. They cope better with daily life stressors.
Reduce Alzheimer's risk
Regular physical activity can reduce your risk of developing Alzheimer's disease by up to 50%. It can also slow down further deterioration in those who have already started to develop cognitive problems. It stimulates the brain’s ability to maintain old connections as well as to make new ones.
A study asked people to rate their mood immediately after periods of physical activity (e.g. going for a walk/run, cycling, doing housework) and periods of inactivity (e.g. reading a book or watching television). Researchers found that participants felt more content, more awake, and calmer after being physically active compared to after periods of inactivity.
In conclusion, people who are physically active feel a sense of well-being, feel more energetic throughout the day, sleep better at night, have sharper memories, and feel more relaxed and positive about themselves and their lives.
“Being physically active not only changes your body, it changes your mind,
attitude, and your mood.” – Arina Engelbrecht
Mathematical methods used to detect and classify breast cancer masses
2016-08-10
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.