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Published on: April 9, 2019
Fractal dimension of diffusion-limited aggregation clusters grown on spherical surfaces
J M Tenti1, S N Hernández Guiance1, I M Irurzun1
1Facultad de Ciencias Exactas, Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas, CCT La Plata, Universidad Nacional de La Plata, B1904 La Plata, Buenos Aires, Argentine Republic.
This study explores fractal properties of diffusion-limited aggregation (DLA) clusters on spheres. Discretization and stereographic projection significantly alter DLA fractal dimensions on curved surfaces, impacting biomedical image analysis.
Area of Science:
- Physics
- Materials Science
- Biomedical Imaging
Background:
- Diffusion-limited aggregation (DLA) forms fractal clusters with Df=1.70 in 2D continuous systems.
- Physical systems and measurement limitations (e.g., biomedical imaging resolution) can necessitate discrete models.
- Understanding fractal properties on curved surfaces is crucial for accurate interpretation.
Purpose of the Study:
- To investigate the fractal characteristics of DLA clusters grown on spherical surfaces.
- To analyze the influence of discretization and stereographic projection on these fractal properties.
- To provide insights for interpreting biomedical images of fractal structures.
Main Methods:
- Simulating DLA cluster growth on spherical surfaces.
- Varying particle sizes to examine discretization effects (r/R ratio).
- Assessing the impact of stereographic projection on fractal dimensions.
Main Results:
- Discretization, influenced by particle size relative to sphere radius, alters fractal dimensions.
- Stereographic projection also modifies the fractal properties of DLA clusters on spheres.
- Both factors deviate from the expected continuous fractal dimension.
Conclusions:
- Discretization and projection are critical factors affecting DLA fractal dimensions on curved surfaces.
- These effects must be accounted for when analyzing fractal patterns in biomedical imaging.
- Accurate interpretation of DLA structures in curved, discrete environments requires considering these modifications.
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