Title :
Fractal analysis of magnetic resonance images of the brain
Author :
Deaton, R. ; Tang, L. ; Reddick, W.E.
Author_Institution :
Dept. of Electr. Eng., Memphis Univ., TN, USA
Abstract :
The image intensity surfaces of T1-weighted, T2-weighted, and Proton Density-weighted magnetic resonance images of the brain were found to be fractal. A statistical analysis of the fractal dimension showed that normal tissue and abnormal tissue (pathology and edema) could be distinguished by comparing fractal dimensions from the T2-weighted and Proton Density-weighted images. For normal tissue, no significant differences existed among fractal dimensions for T1-weighted, T2-weighted, and Proton Density-weighted images. Based on this study, the fractal dimension comparison between T2-weighted and PD-weighted images could classify normal versus abnormal tissue in MR images
Keywords :
biomedical NMR; brain; fractals; medical image processing; statistical analysis; MR images; Proton Density-weighted magnetic resonance images; T1-weighted magnetic resonance images; T2-weighted magnetic resonance images; abnormal tissue; brain; edema; fractal analysis; fractal dimension; image intensity surfaces; magnetic resonance images; normal tissue; pathology; statistical analysis; Analysis of variance; Fractals; Image analysis; Integrated circuit modeling; Magnetic analysis; Magnetic resonance; Pathology; Pixel; Protons; Statistical analysis; Testing;
Conference_Titel :
Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-2050-6
DOI :
10.1109/IEMBS.1994.411875
