My research work has focused on the acquisition and formatting of ultrasound training material for the ultrasound training simulator. The ultimate goal of this research is to develop a training system which allows users to improve their diagnostic abilities without the need to practice on real patients. The physical system includes the sham transducer, tracking system, and display. The next step is to generate ultrasound data for the system which will eventually consist of a library of different pathologies. Initially my research will be to find non rigid registration algorithms which perform adequately on ultrasound data so that we will be able to construct volumes from overlapping scans.
I have investigated the back scatter level of arterial blood as a reference parameter to estimate the absolute backscatter level of the arterial wall/plaque region, as such a backscatter level has been shown to be a good indicator to determine the plaque composition. The challenge resides in the aberrating effect of the tissue layers between the skin surface and the artery in question, such as the common carotid artery. I have also investigated capacitive micromachined ultrasonic transducers (cMUTs) for harmonic imaging.