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Related Concept Videos

Anatomical Terminology01:20

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Knowledge of anatomy is essential to understand human biology and medicine. Anatomists and health care professionals use standard terminology to describe the human body with more precision and no ambiguity. Anatomical terms have mostly Greek and Latin-derived roots. Because these languages are rarely used in conversation, the meaning of words remains the same. Each term is made up of a root in between the prefixes and suffixes. The root of a term often refers to an organ, tissue, or condition,...
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Establishing Standardized Terminology for Digital Image Analysis: A Pilot Study.

Vesna Balac, Kori Stewart, Randy Griswold

    Radiologic Technology
    |November 18, 2020
    PubMed
    Summary
    This summary is machine-generated.

    Standardizing terminology for digital image analysis is crucial. This pilot study surveyed radiologic technology professionals, finding generally positive acceptance of proposed terms for signal, signal value, and signal differences.

    Keywords:
    contrast resolutiondigital imagingimage resolutionimage signalprime image quality factorsradiographysignalsignal differencessignal valuespatial resolution

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    Area of Science:

    • Radiologic technology
    • Medical imaging analysis
    • Digital radiography

    Background:

    • Confusion exists regarding terminology for digital radiography image quality factors.
    • Standardized terms are needed for effective communication and analysis in digital imaging.

    Purpose of the Study:

    • To highlight the necessity for standardized terminology in digital image analysis.
    • To gather data from radiologic technology professionals for a national study on this topic.

    Main Methods:

    • A mixed-method pilot study surveyed 4 Joint Review Committee on Education in Radiologic Technology-accredited radiography programs.
    • Surveys were sent to educators and radiologic technologists, evaluating acceptance of proposed terms: signal, signal value, and signal differences.
    • Quantitative acceptance rates and qualitative reasoning for non-acceptance were analyzed.

    Main Results:

    • The term 'signal' had high acceptance (88% educators, 96% radiographers).
    • 'Signal value' acceptance was 88% (educators) and 79% (radiographers).
    • The term 'signal variance' (changed to signal differences) showed the lowest acceptance (63% educators, 79% radiographers), with concerns about clarity and preference for existing terms like 'contrast'.

    Conclusions:

    • A mean acceptance rate of 83.5% for proposed terms suggests potential understanding in digital image analysis.
    • The pilot study underscores the need for standardized terminology in digital image quality factors.
    • Low response rates necessitate caution; readers are encouraged to participate in a broader survey to establish universal language.