Fractal-based characterization of structural changes in biomedical images

Vivek Swarnakar; Raj S. Acharya; Claudio H. Sibata; Kyu H. Shin

doi:10.1117/12.237887

8 April 1996 Fractal-based characterization of structural changes in biomedical images

Vivek Swarnakar, Raj S. Acharya, Claudio H. Sibata, Kyu H. Shin

Proceedings Volume 2709, Medical Imaging 1996: Physiology and Function from Multidimensional Images; (1996) https://doi.org/10.1117/12.237887
Event: Medical Imaging 1996, 1996, Newport Beach, CA, United States

Abstract

In the present work, distinct structures appearing in biomedical images are modeled as fractals. Within an image, the relevant structures are associated to a fractal dimension. Changes in the dimension values, as a function of time, reflect alterations of structural properties. Accurate and robust estimation of this dimension, leads to a precise characterization of changes undergone by the structure. The Continuous Pyramidal Alternating Sequential Filter method is proposed as a robust and accurate fractal dimension estimator. A study on bedrest data of human subjects was conducted. Bedrest is an accepted model for the study of osteoporosis. Here the spine is modeled as a fractal structure. Fractal model were also applied towards analysis of breast cancer and brain tumors. Results from these different studies confirm that fractals can suitably model a variety of biological structures. These studies also suggest that fractal models can be effectively utilized to detect temporal changes undergone by the structures.

Citation Download Citation

Vivek Swarnakar, Raj S. Acharya, Claudio H. Sibata, and Kyu H. Shin "Fractal-based characterization of structural changes in biomedical images", Proc. SPIE 2709, Medical Imaging 1996: Physiology and Function from Multidimensional Images, (8 April 1996); https://doi.org/10.1117/12.237887

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