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Data compression techniques for CT image archiving.

M L Rhodes, J F Quinn, B Rosner

    Journal of Computer Assisted Tomography
    |December 1, 1983
    PubMed
    Summary
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    Computed tomography (CT) image data compression techniques significantly reduce storage needs and processing time. These methods cut original file space by 40-50%, optimizing archiving and disk systems.

    Area of Science:

    • Medical Imaging
    • Computer Science
    • Data Archiving

    Background:

    • Computed tomography (CT) generates large digital image files, posing storage and processing challenges.
    • Archiving routine patient CT data incurs significant costs in computer time, technologist effort, and storage media.
    • Limited on-line memory in CT disk systems necessitates compact file storage solutions.

    Purpose of the Study:

    • To introduce and evaluate compression techniques for CT image data.
    • To reduce the tape storage requirements for archived CT images.
    • To decrease the computer time associated with CT data archiving and retrieval.

    Main Methods:

    • Implementation of novel data compression algorithms tailored for CT image data.
    • Application of these compression techniques to both tape-based archiving and CT disk systems.

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  • Quantitative analysis of file space reduction and processing time savings.

    • Main Results:

    • Achieved typical reductions of 40% to 50% in original file space for CT image data.
    • Demonstrated significant decrease in the amount of tape required for data storage.
    • Reported substantial savings in computer processing time for data handling.

    Conclusions:

    • Data compression offers an effective solution to manage large CT image files.
    • The developed techniques provide significant cost and efficiency benefits for CT data archiving.
    • These compression methods are applicable to both traditional tape storage and modern disk-based systems.