Exploiting FRI signal structure for sub-Nyquist sampling and processing in medical ultrasound
| Autor: | Yonina C. Eldar, Tanya Chernyakova |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Beamforming
business.industry Computer science Image quality Sampling (statistics) Signal Sonar Object detection law.invention Multidimensional signal processing law Frequency domain Radar imaging Ultrasound imaging Oversampling Nyquist–Shannon sampling theorem Computer vision Artificial intelligence Radar business Telecommunications |
| Zdroj: | ICASSP |
| Popis: | Signals consisting of short pulses are present in many applications including ultrawideband communication, object detection and navigation (radar, sonar) and medical imaging. The structure of such signals, effectively captured within the finite rate of innovation (FRI) framework, allows for significant reduction in sampling rates, required for perfect reconstruction. In this work we consider ultrasound imaging, where the FRI signal structure allows to reduce both sampling and processing rates. We show that beamforming, a crucial processing step in image generation that generally requires oversampling, can be implemented directly on reduced rate samples. This is obtained by replacing the standard time-domain processing by a frequency domain approach and relying on FRI sampling techniques in frequency. Using this approach we achieve significant rate reduction while retaining adequate image quality for both 2D and 3D imaging setups using data obtained by commercial imaging system. |
| Databáze: | OpenAIRE |
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