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Related Experiment Videos

Peripheral tissue freezing in cryosurgery.

W J Song1, L M Jiji

  • 1Department of Mechanical Engineering, City College of the City University of New York, New York 10031.

Cryobiology
|April 1, 1988
PubMed
Summary
This summary is machine-generated.

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The Weinbaum and Jiji bioheat equation accurately models peripheral tissue freezing, determining temperature distribution and frozen front movement. Its results align well with Pennes

Area of Science:

  • Biomedical Engineering
  • Thermodynamics
  • Tissue Physiology

Background:

  • Understanding heat transfer in biological tissues is crucial for applications like cryosurgery and hypothermia treatment.
  • Existing models, such as Pennes' bioheat equation, simplify complex physiological processes.
  • The Weinbaum and Jiji bioheat equation offers a more detailed approach by incorporating vascular ultrastructure and blood perfusion.

Purpose of the Study:

  • To apply the Weinbaum and Jiji bioheat equation to model the freezing process in peripheral tissues.
  • To determine the temperature distribution and the dynamics of the frozen front during tissue freezing.
  • To compare the results obtained from the Weinbaum and Jiji model with those from Pennes' bioheat equation.

Main Methods:

Related Experiment Videos

  • Utilized the Weinbaum and Jiji bioheat equation, which accounts for vascular details and blood flow.
  • Employed a quasi-steady state approximation to simplify the analysis.
  • Solved the governing equations to predict temperature profiles and the progression of the freezing front.

    • Main Results:

    • Successfully determined the temperature distribution within the two-phase (frozen and unfrozen) tissue.
    • Quantified the motion and advancement of the frozen front.
    • Demonstrated good agreement between the predictions of the Weinbaum and Jiji model and Pennes' bioheat equation.

    Conclusions:

    • The Weinbaum and Jiji bioheat equation provides a valid and accurate method for analyzing peripheral tissue freezing.
    • The model effectively captures the thermal behavior and phase change dynamics during freezing.
    • The findings support the utility of this advanced bioheat model in thermal modeling of biological tissues.