Honours Projects 2008

Projects supervised by Yong Xia and David Feng

Project 1: Automated Segmentation of 3D Whole-Body Medical images
The ever-increasing amounts of medical images produced in hospitals around the world require intensive efforts of proficient physicians to manually delineate structures and region-of-interest (ROI) from them. However, this manual processing is laborious and operator dependent and thus prone to reproducibility errors. This project aims to investigate the automated segmentation of individual organ of interest from 3D whole-body medical images by using the recent advances in information technologies. The output of this project will be a software framework of medical image segmentation, which will lay solid foundation for medical image visualization, retrieval, and computer aided diagnosis (CAD). Students involved in the projects will have the opportunity to work in RPA hospital for a certain period of time depending on the progress and necessarily. By finishing this project, students will learn some state of the art technologies in both medical imaging and multimedia.

Project 2: Automated Segmentation of 3D Neuroimages
With the successful application of neuroimaging in clinic, segmentation of neuroimages plays a more important role than before in medical practice. Manual segmentation of neuroimages typically requires a significant time investment and is prone to errors associated with inter-observer and intra-observer variability. Therefore, automated Neuroimage segmentation has drawn increasing attention in recent years. The aim of this project is to investigate the automated segmentation of 3D neuroimages into semantically meaningful regions. This project will result in a software framework and several segmentation algorithms. Students involved in the projects will have the opportunity to work in RPA hospital for a certain period of time depending on the progress and necessarily. By finishing this project, students will learn some state of the art technologies in both medical imaging and multimedia.