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Related Concept Videos

Upsampling01:22

Upsampling

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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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Fast Fourier Transform01:10

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The Fast Fourier Transform (FFT) is a computational algorithm designed to compute the Discrete Fourier Transform (DFT) efficiently. By breaking down the calculations into smaller, manageable sections, the FFT significantly reduces the computational complexity involved. Direct computation of an N-point DFT requires N2 complex multiplications, whereas the FFT algorithm needs only (N/2)log⁡2N multiplications, offering a much faster performance.
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Related Experiment Video

Updated: Dec 13, 2025

Blood Flow Imaging with Ultrafast Doppler
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Ultrafast Power Doppler Imaging Using Frame-Multiply-and-Sum-Based Nonlinear Compounding.

Jinbum Kang, Dooyoung Go, Ilseob Song

    IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
    |August 4, 2020
    PubMed
    Summary
    This summary is machine-generated.

    A new method, frame-multiply-and-sum (FMAS) compounding, enhances ultrafast power Doppler imaging (UPDI) for better microvascular imaging. This technique improves contrast resolution and signal quality without sacrificing temporal resolution.

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    Area of Science:

    • Medical Imaging
    • Ultrasound Technology
    • Biomedical Engineering

    Background:

    • Ultrafast power Doppler imaging based on coherent compounding (UPDI-CC) offers high sensitivity for microvascular imaging.
    • However, UPDI-CC suffers from low contrast resolution due to limited transmissions for high-frame-rate imaging.

    Purpose of the Study:

    • To introduce a novel ultrafast power Doppler imaging method using nonlinear compounding, termed frame-multiply-and-sum (UPDI-FMAS).
    • To enhance contrast resolution in microvascular imaging.

    Main Methods:

    • UPDI-FMAS estimates signal coherence via autocorrelation over plane-wave angle frames, differing from conventional channel-domain delay-multiply-and-sum (DMAS) beamforming.
    • Clutter filtering is applied to individual beamformed plane-wave data to prevent phase distortion and suppress noise.

    Main Results:

    • UPDI-FMAS demonstrated significant improvements in signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) compared to UPDI-CC in simulation and phantom studies.
    • Performance gains increased with a higher number of plane waves, showing over 10 dB SNR and 7 dB CNR improvement with 13 plane waves.
    • In vivo studies on human kidney and tumor-bearing mice visually confirmed enhanced image quality.

    Conclusions:

    • Frame-multiply-and-sum (FMAS) compounding effectively improves image quality in ultrafast power Doppler imaging for microvascular applications.
    • The proposed UPDI-FMAS method enhances SNR and CNR without compromising temporal resolution.