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相关概念视频

Instrument Calibration01:12

Instrument Calibration

675
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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超灵活:基于代模型的超声波柔性阵列形状校准.

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    超声波柔性阵列形状校准框架UltraFlex使用常见中点相关系数 (CMCC) 和相位误差指标准确估计元素位置. 这提高了超声波成像质量,并显示了可穿戴超声波阵列的前景.

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    科学领域:

    • 医疗成像医学成像
    • 超声波技术 超声波技术 超声波技术
    • 生物医学工程 生物医学工程

    背景情况:

    • 灵活和可穿戴的超声波阵列为先进的医学成像提供了潜力.
    • 精确校准阵列形状对于优化超声波图像质量至关重要.
    • 现有的校准方法可能对复杂的数组几何结构来说不够强大或准确.

    研究的目的:

    • 评估基于代模型的超声波柔性阵列形状校准框架 (UltraFlex) 的性能.
    • 评估各种图像质量指标在数组形状校准中的有效性.
    • 为了确定灵活的超声波阵列校准的最强大和最准确的指标.

    主要方法:

    • 利用基于代模型的框架 (UltraFlex) 实现了阵列形状校准的自动差异化.
    • 评估图像质量指标,包括斑点亮度,封面,连贯系数,滞后连贯性,常见中点相关系数 (CMCC) 和常见中点相位误差 (CMPE).
    • 在模拟幻象,实验幻象和体内肝脏数据集上进行测试,使用已知的几何形状的传感器.

    主要成果:

    • 滞后连贯性,CMCC和CMPE指标可以实现更准确的元素位置估计和改进的超声波图像聚焦.
    • 基于CMCC和相位误差的模型证明了对添加式白噪声的稳定性.
    • 实现了3.7微米 (模拟),29.7微米 (幻影) 和69.0微米 (体内肝脏数据) 的中位数平均欧几里德误差 (MEE).

    结论:

    • CMCC和CMPE是超声波柔性阵列形状校准的优质指标,提供精确的元素定位和强大的性能.
    • UltraFlex框架显示出对开发先进的灵活和可穿戴超声波阵列的重大前景.
    • 这项工作推动了超声波校准领域的发展,为下一代超声波设备铺平了道路.