Level for award<br> (Hons, MSc, <br> PhD)?
Main supervisor (name and email)<br>and his / her institution
Andries Engelbrecht, email@example.com
Apply to be<br> considered for a student <br> award (Yes / No)?
Would you like to <br> submit a short paper <br> for the Conference <br> Proceedings (Yes / No)?
Abstract content <br> (Max 300 words)<br><a href="http://events.saip.org.za/getFile.py/access?resId=0&materialId=0&confId=34" target="_blank">Formatting &<br>Special chars</a>
Computed tomography (CT) is a non-destructively analytical technique using penetrating radiation (Neutrons, X-rays or Gamma-rays) as a probe. As the technique is being used as a diagnostic probe in medical applications, it is being used by the scientific community to retrieve qualitative and quantitative information from laboratory scale samples under investigation.
The quest of achieving good results (quality images) in CT, is most of the time met with challenges due to instrument liability, algorithm performance and human decision. With time, some of the challenges are solved using human intuition. As time goes by, experience is gained and as the old challenges become easy to solve the new challenges are born. To obtain the best results possible, the CT experimental simulation will be optimized using swarm intelligence techniques. In this talk we discuss a CT experimental simulator and an image quality analyzer, tools that will be used in CT optimization.