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Ultrasonography01:17

Ultrasonography

8.2K
Ultrasonography is an imaging technique that uses high-frequency sound waves to visualize the body's internal structures. It is a non-invasive and safe procedure that does not involve the use of ionizing radiation, making it widely used in various medical fields. Ultrasonography is used to study heart function, blood flow in the neck or extremities, certain conditions such as gallbladder disease, and fetal growth and development.
During an ultrasonography procedure, a handheld device called...
8.2K
Echo01:06

Echo

1.1K
The human ear cannot distinguish between two sources of sound if they happen to reach within a specific time interval, typically 0.1 seconds apart. More than this, and they are perceived as separate sources.
Imagine the sound is reflected back to the ears. Assuming that the source is very close to the human, the difference between hearing the two sounds—the emitted sound and the reflected sound—may be more than the minimum time for perceiving distinct sounds. If this is the case,...
1.1K
Upsampling01:22

Upsampling

676
Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
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Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

809
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
809
Imaging Studies II: Ultrasonography01:24

Imaging Studies II: Ultrasonography

640
IntroductionUltrasonography, or renal ultrasound, is a noninvasive medical imaging technique that uses high-frequency sound waves to visualize the kidneys, ureters, bladder, and surrounding tissues.Indications for Urinary System UltrasonographyUrinary system ultrasonography is indicated in various clinical scenarios, such as:Kidney Stones (Urolithiasis): To detect and monitor the size and presence of kidney or urinary tract stones.Hydronephrosis: To assess the dilation of the renal pelvis and...
640
Deconvolution01:20

Deconvolution

655
Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
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Related Experiment Video

Updated: Mar 8, 2026

Echo Particle Image Velocimetry
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Digital Signal Processing Methods for Ultrasonic Echoes.

Kyle Sinding, Corina Drapaca, Bernhard Tittmann

    IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
    |January 24, 2017
    PubMed
    Summary
    This summary is machine-generated.

    Regularization methods like total variation and Tikhonov significantly enhance ultrasonic thickness measurements by improving signal-to-noise ratios. These techniques offer superior noise reduction compared to traditional band-pass filters for industrial applications.

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    Area of Science:

    • Digital Signal Processing
    • Ultrasonic Testing
    • Data Analysis

    Background:

    • Accurate ultrasonic thickness measurements rely heavily on signal-to-noise ratio.
    • Traditional band-pass filters are insufficient for reducing noise in industrial ultrasonic applications.
    • Advanced filtering techniques are needed for reliable signal recovery.

    Purpose of the Study:

    • To evaluate the effectiveness of total variation and Tikhonov regularization methods for filtering acoustic and ultrasonic signals.
    • To compare regularization methods against traditional frequency-based filtering.
    • To demonstrate noise reduction capabilities for improved ultrasonic thickness measurements.

    Main Methods:

    • Application of total variation and Tikhonov regularization techniques.
    • Filtering of digitally produced and transducer-generated acoustic and ultrasonic signals.
    • Comparison with frequency-based filtering methods.
    • Parameter optimization for signal-to-noise ratio enhancement.

    Main Results:

    • Total variation and Tikhonov filters accurately recover signals from noisy data faster than band-pass filters.
    • The total variation filter significantly reduces noise in ultrasonic signals with clear echoes.
    • Signal-to-noise ratios were improved by over 400% through parameter optimization.

    Conclusions:

    • Regularization methods, particularly total variation, offer a more efficient approach to noise reduction in ultrasonic systems compared to frequency-based filtering.
    • These methods enable more reliable and accurate ultrasonic thickness measurements in industrial settings.
    • The study highlights the potential of advanced signal processing for enhancing critical industrial measurements.