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Hospital Trolley Ultrasound Scanner Equipment 125 * 40 * 76cm Stable Performance

    Buy cheap Hospital Trolley Ultrasound Scanner Equipment 125 * 40 * 76cm Stable Performance from wholesalers
     
    Buy cheap Hospital Trolley Ultrasound Scanner Equipment 125 * 40 * 76cm Stable Performance from wholesalers
    • Buy cheap Hospital Trolley Ultrasound Scanner Equipment 125 * 40 * 76cm Stable Performance from wholesalers
    • Buy cheap Hospital Trolley Ultrasound Scanner Equipment 125 * 40 * 76cm Stable Performance from wholesalers

    Hospital Trolley Ultrasound Scanner Equipment 125 * 40 * 76cm Stable Performance

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    Brand Name : STATEMED
    Model Number : STT1-CDU24
    Certification : FDA
    Price : competitive
    Payment Terms : L/C, T/T, Western Union
    Supply Ability : 100 Sets per month
    Delivery Time : 10 working days
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    Hospital Trolley Ultrasound Scanner Equipment 125 * 40 * 76cm Stable Performance

    Hospital Trolley Ultrasound Scanner Equipment 125 * 40 * 76cm Stable Performance


    1. Multi-gate Doppler and 3D Spectrum Display

    Introduction
    Multi-gate Doppler is a patented Saset technology that
    offers visualization of the velocity profile in the
    velocity/depth plane and of the 3D spectrum with the
    additional axis of axial depth.
    The result offers never-before-seen information
    regarding the hemodynamics of vessels, and
    significantly improves the accuracy of volume flow
    estimation.


    Method
    The method subdivides the axial gate into multiple
    smaller sub-gates. Spectrum is computed for each subgate,
    and the resulting velocity distribution may be
    plotted in the velocity/axial distance axis as a velocity
    profile. Additionally, the full 3D data, consisting of
    velocity, time, and depth axes, is displayed.
    As an example of the clinical significance, the central
    collapse of the velocity profile after systole is related to
    the elasticity of the vessel wall.


    Improved volume flow estimation
    The Doppler gate is widened to the entirety of the
    vessel. By assuming radial symmetry, the volume flow
    can be estimated from the numerous sub-gates.
    This is an improvement over conventional single-gate
    Doppler which assumes the velocity distribution is
    laminar over the entirety of the gate, which is clearly
    false.
    We verify the increase in accuracy by flow phantom
    experiments, using both conventional and multi-gate
    Doppler to estimate volume flow.


    2. Elasticity Imaging in Healthcare

    Introduction
    Tissue elasticity offers clinically significant information on
    tumor and lesion growth, including early state characterization
    that may greatly assist early diagnosis. We present
    visualization of tissue elasticity through two methods:
    1) Freehand elastography using manual probe compression
    2) Sound-Push© elastography & shear wave speed
    estimation using ARFI


    Freehand elastography
    Motion tracking of manual compression or breathing
    induced movement generates a strain image
    representing the elasticity of the underlying tissue. Saset
    has one issued patent and our lab in collaboration with
    Sichuan University has 17 published academic papers
    and 7 PhD theses.


    Wave Speed estimation
    Saset introduces Sound-Push© elastography, with two pending
    patents, which does not require manual compression as it is
    based on transmitting high energy pulses to acoustically push
    the tissue. This technique results in more accurate strain
    images. Moreover, Saset offers shear wave speed estimation
    which can diagnosis liver fibrosis diseases quantitatively.
    Figure 4. ARFI image of the edema (the white spot in the
    right picture) in early Achilles tendon injury


    Experimental verification and accuracy analysis
    In our lab, we have verified our Sound-Push© elastography using
    Model 049, CIRS Elasticity QA phantom, with results between
    1.25% and 4.44% error using four types of hard/soft lesions.
    Additionally, we verified shear wave speed estimation using
    Model 039, CIRS Shear Wave Liver Fibrosis Phantom, with
    1.61% to 6.37% error (from 4 to 44.4 kPa Young’s modulus)



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