A Neuro-Difference Fuzzy Technique for Automatic Segmentation of Region of Interest in Medical Imaging

Author

Tayel, Mazhar B. ; Abdou, Mohamed A.

Author_Institution

Dept. of Electr. Eng., Alexandria Univ.

Volume

0

fYear

2006

fDate

14-16 March 2006

Firstpage

1

Lastpage

7

Abstract

Automatic selection of region of interest (ROI) becomes an important area in the fields of diagnosis and in solving storage and transmission problems. This paper introduces an automatic method for segmentation of ROI in medical imaging (MI) using neural network (NNET) and fuzzy logic. Intensity variation along radial lines, for MRI brain images and fluorescence ophthalmic images, are studied. The new proposed technique is called neuro difference fuzzy. It reduces complexity, storage space, and saves time. The detected critical points form an irregular spider hexagon filter that used to extract the ROI. Several case studies are analyzed and results are compared with other techniques

Keywords

biomedical MRI; brain; eye; fuzzy logic; fuzzy neural nets; image segmentation; medical image processing; spatial filters; MRI brain images; automatic segmentation; fluorescence ophthalmic images; fuzzy logic; irregular spider hexagon filter; medical imaging; neural network; neuro-difference fuzzy technique; patient diagnosis; region of interest; Artificial neural networks; Biomedical engineering; Biomedical imaging; Biomedical informatics; Cancer detection; Discrete cosine transforms; Image coding; Image segmentation; Neural networks; Wavelet transforms; Exclusive Rule; Image Segmentation; Neuro-Difference fuzzy; ROI; Wavelet transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Radio Science Conference, 2006. NRSC 2006. Proceedings of the Twenty Third National

Conference_Location

Menoufiya

Print_ISBN

977-5031-84-2

Electronic_ISBN

977-5031-84-2

Type

conf

DOI

10.1109/NRSC.2006.386387

Filename

4275184