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Fast Contour Detection Algorithm for High Precision Quantitative CT.

P Seitz, P Ruegsegger

    IEEE Transactions on Medical Imaging
    |January 1, 1983
    PubMed
    Summary
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    A novel algorithm for automatic contour detection in CT images is presented. This fast, memory-efficient method accurately identifies bone contours in low-dose scans within one second.

    Area of Science:

    • Medical imaging
    • Computer vision
    • Algorithm development

    Background:

    • Accurate object contour detection is crucial for medical image analysis.
    • Existing methods may be computationally intensive or require significant memory.
    • Low-dose CT imaging presents challenges for precise feature identification.

    Purpose of the Study:

    • To present a novel, efficient algorithm for automatic contour detection in CT images.
    • To demonstrate the algorithm's applicability to bone contour detection in low-dose CT scans.
    • To highlight the algorithm's low memory requirements and computational speed.

    Main Methods:

    • Development of an algorithm for automatic contour detection.
    • Integration of local digital filters for enhanced feature extraction.

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  • Implementation on a minicomputer for performance evaluation.

    • Main Results:

    • The algorithm achieves automatic contour detection with high efficiency.
    • Computation time is less than one second on a minicomputer.
    • Successful implementation for detecting bone contours in low-dose CT images.

    Conclusions:

    • The presented algorithm offers a fast and memory-efficient solution for CT image contour detection.
    • It is adaptable to various local digital filters.
    • The algorithm shows promise for applications like bone segmentation in low-dose CT.