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The design of newer ultrasonic imaging systems attempts to obtain low-cost, small-sized devices with reduced power consumption that are capable of reaching high frame rates with high image quality. In this regard, synthetic aperture techniques have been very useful. They reduce hardware requirements and accelerate information capture. However, the beamforming process is still very slow, limiting the overall speed of the system. Recently, general-purpose computing on graphics processing unit techniques have been proposed as a way to accelerate image composition. They provide excellent computing power with which a very large volume of data can easily and quickly be processed. This paper describes a new system architecture that merges both principles. Thus, using a minimum-redundancy synthetic aperture technique to acquire the signals (2R-SAFT), and a graphics processing unit as a beamformer, we have developed a new scanner with full dynamic focusing, both on emission and reception, that attains real-time imaging with very few resources.
Real-Time Beamforming, Miniaturization, GPGPU, Transducers, Information Storage and Retrieval, Reproducibility of Results, Signal Processing, Computer-Assisted, Equipment Design, Image Enhancement, Sensitivity and Specificity, Equipment Failure Analysis, Computer Systems, Image Interpretation, Computer-Assisted, 2R-SAFT, Computer-Aided Design, SAFT, Algorithms, Ultrasonography
Real-Time Beamforming, Miniaturization, GPGPU, Transducers, Information Storage and Retrieval, Reproducibility of Results, Signal Processing, Computer-Assisted, Equipment Design, Image Enhancement, Sensitivity and Specificity, Equipment Failure Analysis, Computer Systems, Image Interpretation, Computer-Assisted, 2R-SAFT, Computer-Aided Design, SAFT, Algorithms, Ultrasonography
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 33 | |
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
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