KEYWORDS: Ultrasonography, Transducers, Signal processing, Analog electronics, Modulation, Image processing, Signal detection, Acoustics, Signal to noise ratio, Statistical analysis
Recent developments of new medical treatment techniques put challenging demands on ultrasound imaging
systems in terms of both image quality and raw data size. Traditional sampling methods result in very large
amounts of data, thus, increasing demands on processing hardware and limiting the flexibility in the postprocessing
stages.
In this paper, we apply Compressed Sensing (CS) techniques to analog ultrasound signals, following the recently
developed Xampling framework. The result is a system with significantly reduced sampling rates which, in turn,
means significantly reduced data size while maintaining the quality of the resulting images.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.