Abstract: Three-dimensional ultrasound is a powerful imaging technique, but it requires thousands of sensors and complex hardware. The discovery of compressive sensing has shown that the signal structure can be exploited to reduce the burden posed by traditional sensing requirements. In this talk, we will give an overview of how compressive sensing can be used in ultrasound imaging. As an extreme example, we have designed a simple ultrasound imaging device that can perform three-dimensional imaging using just a single ultrasound sensor. Our device makes a compressed measurement of the spatial ultrasound field using a plastic aperture mask placed in front of the ultrasound sensor. The aperture mask ensures that every pixel in the image is uniquely identifiable in the compressed measurement. Similar masks can also be used on existing ultrasound arrays to increase their coverage from two-dimensional to three-dimensional. Furthermore, we will discuss optimal mask designs as well as specialized algorithms that can reduce the complexity and memory requirements of the state of the art reconstruction methods. We demonstrate our designs with real experiments and illustrate that compressive ultrasound imaging can pave the way for cheaper, faster, simpler and smaller sensing devices with possible new clinical applications.
Co-sponsored by: Rice University ECE Department Seminar
Speaker(s): Geert Leus
Agenda:
Presentation at 4 to 5:00pm CST
Room: Room 1070, Bldg: Duncan Hall, Rice University, 6100 Main Street, Houston, Texas, United States, 77005