scholarly journals DOPPLER TWINKLING ARTIFACT OBSERVATIONS: AN OPEN-ACCESS DATABASE OF RAW ULTRASONIC SIGNALS

2021 ◽  
Author(s):  
Denis V. Leonov ◽  
Roman V. Reshetnikov ◽  
Nikolas S. Kulberg ◽  
Anastasia A. Nasibullina ◽  
Alexandr I. Gromov
Keyword(s):  
Signal Processing ◽  
Soft Tissues ◽  
Rapid Change ◽  
Velocity Estimation ◽  
Speckle Reduction ◽  
Total Size ◽  
Twinkling Artifact ◽  
Signal Processing Algorithms ◽  
Processing Algorithms ◽  
Ultrasound Signals

Backgraund: Doppler twinkling artifact is a rapid change of colors seen in CFI-mode in the presence of kidney stones, calculi, etc. Therefore some try to use the twinkling artifact as a useful diagnostic sign; however this phenomenon is underresearched, because the majority of assumptions concerning its causes are made on the basis of pure visual observations of the scanners screen living the important steps of signal transformation hidden behind the black box curtains of ultrasound machines. Methods: Raw radiofrequency ultrasound signals were recorded in the phantom studies. The recorded echoes were received from objects which create the Doppler twinkling artifact and also from artificial blood vessels and soft tissues imitators. The data were collected between June 2016 and March 2021. Sonomed-500 with the 7.5 L38 and 3.4 C60 probes served as the research machine for the signal capture. Data records: We present the database containing raw radiofrequency ultrasound signals from the beamformer output of the research ultrasound machine. The dataset consists of CFI and B-mode echoes recorded from twinkling objects. Therefore, this database can be useful for those who test, develop and study ultrasound signal processing algorithms. The database is freely available online. The database consists of echoes received from five phantoms with the total size of 10.5 GB. Raw radiofrequency signals were stored in the binary files; scanning parameters were stored in text files. The database is available at: https://mosmed.ai/datasets/ultrasound_doppler_twinkling_artifact. Code availability: Anyone can study the database with the specially written program called TwinklingDatasetDisplay available at: https://github.com/Center-of-Diagnostics-and-Telemedicine/TwinklingDatasetDisplay.git. Usage notes: The database can be used to test and develop signal-processing algorithms, such as wall filtration, velocity estimation, feature extraction, speckle reduction, etc. Anyone is free to share (copy, distribute, and transmit) and to remix (adapt and make derivative works) the dataset as long as appropriate credit is given.

scholarly journals A Compact UWB Indoor and Through-Wall Radar with Precise Ranging and Tracking

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Yinan Yu ◽  
Jian Yang ◽  
Tomas McKelvey ◽  
Borys Stoew
Keyword(s):  
Signal Processing ◽  
Theoretical Analysis ◽  
Short Range ◽  
Indoor Environment ◽  
Low Cost ◽  
Moving Target ◽  
Radiation Characteristics ◽  
Uwb Radar ◽  
Signal Processing Algorithms ◽  
Processing Algorithms

Ultrawideband (UWB) technology has many advantages compared to its narrowband counterpart in many applications. We present a new compact low-cost UWB radar for indoor and through-wall scenario. The focus of the paper is on the development of the signal processing algorithms for ranging and tracking, taking into account the particular properties of the UWB CMOS transceiver and the radiation characteristics of the antennas. Theoretical analysis for the algorithms and their evaluations by measurements are presented in the paper. The ranging resolution of this UWB radar has achieved 1-2 mm RMS accuracy for a moving target in indoor environment over a short range, and Kalman tracking algorithm functions well for the through-wall detection.

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