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Found 10 papers, 0 papers with code
Machine-to-Machine Transfer Function in Deep Learning-Based Quantitative Ultrasound
Additionally, robust implementation inspired by Wiener filtering provided an effective method for transferring the domain from one machine to another machine, and it can succeed using just a single calibration view without the need for multiple independent calibration frames.
A Radiological Clip Design Using Ultrasound Identification to Improve Localization
Ultrasound identification (USID) signals were generated and transmitted as a result.
High-resolution Power Doppler Using Null Subtraction Imaging
Up to six-fold resolution improvement was demonstrated by the FWHM estimate and four-fold resolution improvement was demonstrated by the iso-frequency curve from the NSI-based PD microvessel images compared to microvessel images generated by traditional DAS-based beamforming.
Grating lobe reduction in plane wave imaging with angular compounding using subtraction of coherent signals
NSI was observed to greatly reduce the presence of grating lobes in ultrasonic images, compared to DAS with Hann and GCF, while maintaining spatial resolution and contrast in the images.
Through Tissue Ultra-high-definition Video Transmission Using an Ultrasound Communication Channel
Wireless capsule endoscopy (WCE) has been widely adopted as complementary to traditional wired gastroendoscopy, especially for small bowel diseases which are beyond the latter's reach.
Calibrating Data Mismatches in Deep Learning-Based Quantitative Ultrasound Using Setting Transfer Functions
By using the setting transfer functions, which allowed a matching of the training and testing domains, we obtained mean accuracies of 95. 3%, 92. 99% and 99. 32%, respectively.
High-level synthesis design of scalable ultrafast ultrasound beamformer with single FPGA
Ultrafast ultrasound imaging is essential for advanced ultrasound imaging techniques such as ultrasound localization microscopy (ULM) and functional ultrasound (fUS).
A Data-Efficient Deep Learning Strategy for Tissue Characterization via Quantitative Ultrasound: Zone Training
In this work, we develop a data-efficient deep learning training strategy, which we named \textit{Zone Training}.
Video-Streaming Biomedical Implants using Ultrasonic Waves for Communication
The use of wireless implanted medical devices (IMDs) is growing because they facilitate continuous monitoring of patients during normal activities, simplify medical procedures required for data retrieval and reduce the likelihood of infection associated with trailing wires.
Real-time video streaming in vivo using ultrasound as the communication channel
To achieve real-time video streaming through tissue, data rates of ultrasound need to exceed 1 Mbps.
