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Related Concept Videos

Instrument Calibration01:12

Instrument Calibration

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Instrument calibration is essential for ensuring that instruments produce accurate and consistent results. It is vital in manufacturing, healthcare, testing laboratories, and scientific research. Calibration processes are specific to each instrument and help enhance data accuracy. Each instrument has a unique calibration process tailored to its design and function to improve data accuracy.
Analytical Balance Calibration
An analytical balance measures mass and requires regular calibration to...
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Calibration Curves: Linear Least Squares01:20

Calibration Curves: Linear Least Squares

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A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
For data that follow a straight line, the standard method for fitting is the linear...
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Calibration Curves: Correlation Coefficient01:10

Calibration Curves: Correlation Coefficient

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In a linear calibration curve, there is a value called the calibration coefficient, denoted by 'r,' which measures the strength and the direction of association between two variables. The correlation coefficient value ranges from −1 to +1. A value of +1 indicates a perfect positive linear correlation, −1 denotes a perfect negative correlation, and 0 implies no correlation between the two variables. A positive correlation value establishes that as one variable increases, the...
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Emission Spectroscopic Boundary Layer Investigation during Ablative Material Testing in Plasmatron
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Estimation of Backscatter Coefficients Using an In Situ Calibration Source.

Trong N Nguyen, Alex J Tam, Minh N Do

    IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
    |October 1, 2019
    PubMed
    Summary

    This study introduces an in situ calibration method using titanium spheres to accurately estimate ultrasound backscatter coefficient (BSC) by accounting for tissue transmission losses. This approach enhances the reliability of BSC measurements in biomedical applications.

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    Area of Science:

    • Ultrasound physics
    • Biomedical imaging
    • Acoustic characterization

    Background:

    • Traditional backscatter coefficient (BSC) estimation in ultrasound imaging suffers from bias and variance due to uncorrected transmission losses.
    • Reference phantom techniques do not adequately account for signal attenuation through intervening tissues.
    • Accurate BSC estimation is crucial for quantitative ultrasound (QUS) applications.

    Purpose of the Study:

    • To demonstrate the feasibility of using an in situ calibration source for estimating the ultrasound backscatter coefficient (BSC).
    • To develop and validate an in situ calibration technique that accounts for transmission losses in ultrasound imaging.
    • To improve the accuracy and robustness of BSC-based quantitative ultrasound estimates.

    Main Methods:

    • An in situ calibration approach using embedded, ultrasonically characterized titanium spheres was proposed.
    • Experiments involved quantifying backscattered signals from titanium spheres of varying sizes (0.5, 1, 2 mm).
    • The repeatability and theoretical comparison of BSC estimates were assessed, along with performance in the presence of lossy layers and at multiple depths.

    Main Results:

    • The 2-mm titanium sphere yielded the strongest signal with a 11.6 dB SNR.
    • Experimentally derived BSCs showed small mean differences (0.54-0.76 dB) compared to Faran theory.
    • The in situ method demonstrated significantly smaller BSC differences (0.15-0.73 dB) compared to reference phantom methods (-9.69 dB) when accounting for tissue layers.

    Conclusions:

    • Embedded titanium spheres serve as effective in situ calibration targets for ultrasound BSC estimation.
    • The proposed in situ calibration method accurately compensates for overlaying tissue transmission losses.
    • This technique enhances the robustness and reliability of quantitative ultrasound assessments in biomedical applications.