Feature Analysis of Brain MRI Images Based on Fractal Dimension

Author

Tang, Min ; Wang, Hui Nan

Author_Institution

Dept. of Biomed. Eng., Nanjing Univ. of Aeronaut. & Astronautics

fYear

2006

Firstpage

3245

Lastpage

3248

Abstract

Fractal dimension has been widely used in the process of medical images measurement and analysis. A novel fractal dimension based on triangular prism surface area (TPSA), is introduced to two-dimensional medical images in this article. A series of tests show that this method is accurate and robust in operation. Applying the TPSA method to analyzing the feature characteristics of brain MRI images, tests show that: compared with the normal brain MRI images, fractal dimensions of the abnormal brain images become less. As a result, it is suggested that fractal dimension be one of guidelines in diagnosing some brain diseases

Keywords

biomedical MRI; brain; diseases; fractals; brain MRI images; brain disease diagnosis; feature analysis; fractal dimension; triangular prism surface area; two-dimensional medical images; Biomedical imaging; Brain; Diseases; Fractals; Guidelines; Image analysis; Magnetic resonance imaging; Medical diagnostic imaging; Robustness; Testing; Fractal dimension; fractal geometry; image features; image measurement; medical images;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the

Conference_Location

Shanghai

Print_ISBN

0-7803-8741-4

Type

conf

DOI

10.1109/IEMBS.2005.1617168

Filename

1617168