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Related Experiment Videos

Accuracy of a two-sensor sonic digitizer.

I I Rosen, R G Lane, C A Kelsey

    Medical Physics
    |November 1, 1979
    PubMed
    Summary
    This summary is machine-generated.

    Errors in sonic digitizers used for radiotherapy treatment planning were analyzed. A new cubic function method significantly improves accuracy, reducing position errors from 0.5 to 0.1 cm.

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    Area of Science:

    • Medical Physics
    • Radiotherapy Technology
    • Medical Imaging

    Background:

    • Digitizing devices are crucial for radiotherapy computer treatment planning, enabling input of patient anatomy and treatment parameters.
    • Large-area two-sensor sonic digitizers are commonly used but can introduce errors in data acquisition.
    • Accurate data entry is essential for precise radiation dose delivery.

    Purpose of the Study:

    • To investigate and quantify errors in a large-area two-sensor sonic digitizer for radiotherapy applications.
    • To evaluate the impact of coordinate conversion on digitizer precision.
    • To develop and assess an improved method for reducing digitizer-induced errors.

    Main Methods:

    • Measured the response of each sensor as a function of distance, identifying nonlinear behavior.

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  • Analyzed errors arising from the conversion of triangular to Cartesian coordinates.
  • Compared a standard linear distance computation method with an alternative fitted cubic function method.

    • Main Results:

    • The standard linear method resulted in computed distance errors up to 0.8%.
    • Sensor response was found to be a nonlinear function of distance.
    • The fitted cubic function method reduced computed distance errors to less than 0.1%.

    Conclusions:

    • The non-uniform precision of sonic digitizers is linked to nonlinear sensor responses and coordinate conversion.
    • A cubic function-based approach offers a significant improvement in accuracy over linear methods for sonic digitizer data.
    • Implementing the cubic function method can enhance the reliability of radiotherapy treatment planning by minimizing digitizer errors.