WIT Press

MRI Brain Abnormality Detection Using Fuzzy Neural Network

Price

Free (open access)

Paper DOI

10.2495/AI960241

Volume

16

Pages

7

Published

1996

Size

118 kb

Author(s)

Kasra Haghighi

Abstract

In this paper an expert system for detection of brain abnormalities is proposed. First preceding methods for segmentation of MR images are reviewed and their limitations are discussed. In the proposed method, MR images (three images from one slice: T1, T2 and Proton Density) are acquired from a scanner or directly from MRI system. For noise deletation two filters (median and bandreject lowpass) are used (This stage is optional). They make a clean view of MR images. It is necessary to have precise detections. So by implementing a gray-scale to color transformation algorithm (it is a radially symmetric butterworth band-reject filter), system can recognize the differences between tissues accurately. Now we have three colored images (T1, T2 and Proton Density) from the last section that better represent tissues and it is possible to say that those tissues with the s

Keywords