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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...
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Evaluating Targeting Accuracy in the Focal Plane for an Ultrasound-guided High-intensity Focused Ultrasound Phased-array System
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Linear System Models for Ultrasonic Imaging: Intensity Signal Statistics.

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    This study analyzes the statistical properties of ultrasound intensity signals, overcoming demodulation nonlinearity. New methods improve characterization of spatial resolution and noise in B-mode imaging.

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    Area of Science:

    • Medical Imaging
    • Acoustics
    • Signal Processing

    Background:

    • Statistical properties of radio frequency backscattered ultrasound signals are well-characterized.
    • Limited understanding exists for demodulated intensity signals, hindering spatial resolution and noise analysis in B-mode ultrasound.

    Purpose of the Study:

    • To generalize two-point intensity covariance using a multivariate systems approach.
    • To derive the mean and autocovariance function of the intensity signal.
    • To investigate limiting cases of point statistics and uniform scattering fields.

    Main Methods:

    • Utilized a multivariate systems approach to generalize intensity covariance.
    • Derived mean and autocovariance functions under Gaussian assumptions for scattering and noise.
    • Assumed a locally shift-invariant pulse-echo system function.

    Main Results:

    • Simulation studies showed <10% error between theoretical and sample estimates of mean and variance.
    • Intensity power spectrum prediction in real systems showed good qualitative agreement ( <3.5 dB error).
    • Confirmed intensity mean equals standard deviation (SNR=1) for fully developed speckle.

    Conclusions:

    • Developed a method to characterize ultrasound linear array quality for low-contrast patterns.
    • Utilized generalized noise-equivalent quanta directly on intensity signals.
    • Advanced the understanding of intensity signal statistics for improved B-mode imaging.