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18 September 2018
Photo Hanno Otto
The OSM Camerata is once again a winner, sharing the first prize in the Ictus International Music Competition with the Oklahoma State University.
If Einstein’s string theory had a musical undertone, one would think it is because of the sweet melodies of the Odeion School of Music Cameratas’ (OSMC) violins and cellos. It should therefore come as no surprise that OSMC won the 2018 International Ictus Music Competition, again. The ensemble has been paving the way to numerous successes since its inception in 2012.
This year, however, the OSMC is sharing the first prize with the Oklahoma State University Symphony Orchestra, under the direction of Dr Thomas Dickey. The OSMC’s competition recital for 2018 was conducted by principle conductor, Xavier Cloete. Acclaimed violist Elsabé Raath, joined the OSMC artistic team in 2017 as string clinician.
OSMC the jewel in crown
The OSMC is based at the Odeion School of Music (OSM) at the University of the Free State UFS) and was strategically founded as the OSM’s flagship ensemble with the main objective, creating a catalyst for excellence. “From a pedagogical perspective, it serves as a feasible incubator to nurture fully-rounded musicians who are thoroughly prepared for the demands of their trade as orchestral musicians, soloists and conductors,” said Marius Coetzee founder of the OSMC.
“Ms Raath also made her debut as conductor during the 2018 Ictus Music Competition where she conducted O Sacrum Convivium by Olivier Messiaen,” said Coetzee, founder of the OSMC. Elsabé was also conductor during the 2018 Ictus Music competition.
The OSMC’s concert programme for Ictus 2018 also consisted of works by Jacobus Gallus/Lance Phillip, Béla Bartók, Peteris Vasks/Keith Moss, as well as Johann Sebastian Bach.
Ictus an ideal platform
The Ictus International Music Competition is an online music competition for wind bands, orchestras and solo trumpet. It has been described by David Bilger of the Philadelphia Orchestra as “democratising music competitions”. Ictus was founded to make international music competitions more accessible though eliminating prohibitive travel costs, conference fees and visa issues. This was made possible through having the application and adjudication take place online only.
You can listen to OMSC Ictus submissions here:
Duo Seraphim Jabobus Gallus/Lance Phillip
Romanian Folk Dances/ Román népi táncok Béla Bartók
Kekatu Dziesma (Carnival Song) Peteris Vasks/Keith Moss
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.