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Two-dimensional sample entropy analysis of rat sural nerve aging.

Luiz Eduardo Virgilio da Silva, Antonio Carlos da Silva Senra Filho, Valeria Paula Sassoli Fazan

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |January 9, 2015
    PubMed
    Summary

    We developed a new image analysis method, two-dimensional sample entropy (SampEn2D), to capture pixel spatial distribution. SampEn2D reveals that elderly rat nerve images are more regular than young rat images.

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    Area of Science:

    • Biomedical image analysis
    • Computational pathology
    • Neuroscience

    Background:

    • Traditional Shannon entropy for image analysis focuses solely on pixel gray levels.
    • The spatial distribution of pixels is crucial for comprehensive image analysis.
    • Sample entropy (SampEn) effectively quantifies time series irregularity but is not directly applicable to images.

    Purpose of the Study:

    • To introduce a novel 2D extension of sample entropy (SampEn2D) for image analysis.
    • To develop an entropy-based method that incorporates pixel spatial distribution for feature extraction.
    • To evaluate SampEn2D's utility in analyzing histological nerve images.

    Main Methods:

    • Extension of sample entropy (SampEn) to a two-dimensional algorithm (SampEn2D).

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  • Application of SampEn2D to histological images of sural nerve segments from young and elderly rats.
  • Calculation of morphometric indexes (fiber count, area, perimeter) for comparison.

    • Main Results:

    • SampEn2D successfully extracts meaningful information from histological nerve images.
    • Elderly rat nerve images were classified as more regular (less complex) by SampEn2D compared to young rat images.
    • SampEn2D results are complementary to traditional morphometric indexes.

    Conclusions:

    • SampEn2D is a novel and effective method for image analysis, considering pixel spatial distribution.
    • The proposed method provides insights into age-related changes in nerve tissue complexity.
    • SampEn2D offers a complementary approach to existing morphometric analyses in histology.