Analysis of tissue information on medical image using fractal dimensions

Takeshi Matozaki; Satoshi Koyanagi; T. Ikeguchi

doi:10.1117/12.154539

14 September 1993 Analysis of tissue information on medical image using fractal dimensions

Takeshi Matozaki, Satoshi Koyanagi, T. Ikeguchi

Proceedings Volume 1898, Medical Imaging 1993: Image Processing; (1993) https://doi.org/10.1117/12.154539
Event: Medical Imaging 1993, 1993, Newport Beach, CA, United States

Abstract

Three-dimensional reconstruction of tissue from images of X-ray CT and MR CT, is useful for diagnosis and surgical operation. However, it is often difficult to recognize and extract accurate tissue information from images using simple binarization or edge detection. Organ shapes are complex, but it is said that they should have fractal property. So we are likely to introduce fractal theory for extraction or discrimination of tissue. In this paper, we analyze tissue image data using not only average and variance but also three fractal dimensions, and classify them to three categories (brain, eye and neck) by two dimensional discriminant analysis. As a result, discriminant rate are over 80%. It is useful to introduce fractal dimension on multivariate analysis of tissue images.

Citation Download Citation

Takeshi Matozaki, Satoshi Koyanagi, and T. Ikeguchi "Analysis of tissue information on medical image using fractal dimensions", Proc. SPIE 1898, Medical Imaging 1993: Image Processing, (14 September 1993); https://doi.org/10.1117/12.154539

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