The following is a list of ongoing research projects in the Laboratory for Enabling Technologies in Medical Ultrasound:
Elasticity Imaging for Trauma
This research effort deals with extending the capabilities and applications of tissue elasticity imaging. Elasticity imaging is of interest, in part because soft tissues, from normal to pathological, exhibit a greater variation in elastic parameters than in acoustic parameters. We are interested in evaluating both 2D and 3D elasticity imaging and to investigate the use of force sensors for converting strain images into stress images. The research is carried out by Lili (Christina) Yuan, who is a PhD student in Electrical and Computer Engineering.
Wireless Transmission of Streaming Ultrasound through H.264 Compression
We are developing image streaming capabilities over wireless networks, as part of the effort towards making ultrasound video (as well as exam camera video) available anywhere. Specifically, we are implementing this on our mobile ultrasound system, to operate on wireless networks, such as wireless LANs (Wi-Fi or 802.11), 3G mobile phones, and satellite phone systems. Given the limited data rate (bandwidth), effective image compression is needed, such as H.264 (MPEG-4) compression is needed.
Virtual Interactive Training System for Trauma
This research deals with the development of an inexpensive, interactive ultrasound training system (ultrasound simulator) especially for emergency personnel. The value of training simulators is well-known, and this training system can make imaging services more widely available in pre-hospital and emergency care and for rural medicine, leading to earlier detection and more effective treatment. The system can be used at clinics, hospitals, teaching centers, even at a physician’s home. Although the system is specifically developed for EMS personnel, the concept is fully applicable to any field of medicine that can benefit from diagnostic ultrasound. The first prototype was developed by Chris Banker, and the research is now continued by Jason Kutarnia, who is a PhD student in Electrical and Computer Engineering.
Computer-Aided Image Analysis – Detection of Pericardial Effusion
Computer-aided image analysis refers to a software-based process for assisting individual with modest training in medical ultrasound in making correct diagnostic decisions, in particular in screening and trauma situations. Our research deals specifically with the detection of pericardial effusion (fluid around the heart).
Atherosclerotic Plaque Classification
The goal of this research is to develop and evaluate a non-invasive ultrasound-based technique for in vivo classification of atherosclerotic plaque. The ultimate goal is to develop a screening tool for stroke risk. The technique measures the absolute integrated backscatter (IBS) of arterial wall structures through an intervening inhomogeneous soft tissue layer. The aberrating effect of this tissue layer is minimized by normalizing the measured IBS from the wall region of interest with the IBS from an adjacent range cell in blood.
Last modified: May 18, 2009 17:10:03