Title :
Fuzzy based segmentation of multiple sclerosis lesions in Magnetic Resonance brain images
Author :
Bijar, Ahmad ; Khayati, Rasoul ; Benavent, Antonio Peñalver
Author_Institution :
Dept. of Biomed. Eng., Shahed Univ., Tehran, Iran
Abstract :
Segmentation is an important step for the diagnosis of multiple sclerosis. This paper presents a new approach for fully automatic segmentation of MS lesions in fluid attenuated inversion recovery (FLAIR) Magnetic Resonance (MR) images. At first, Brain image is considered to be three parts, namely the dark, the gray, and the white part. Then, the fuzzy regions of their member functions are determined by maximizing fuzzy entropy through the Genetic algorithm. Finally, MS lesions and CSF areas are determined by applying a localized weighted filter to the Bright and Dark membership images. To evaluate the result of the proposed method, similarity criteria of different slices related to 20 MS patients are calculated and compared with other methods which include manual segmentation. Also, volume of segmented lesions are computed and compared with Gold standard using correlation coefficient. The proposed method has better performance in comparison with previous works which are reported here.
Keywords :
biomedical MRI; filtering theory; fuzzy set theory; genetic algorithms; image segmentation; medical image processing; CSF areas; FLAIR; Gold standard; MR images; MS lesions; bright membership images; correlation coefficient; dark membership images; fluid attenuated inversion recovery magnetic resonance images; fully automatic segmentation; fuzzy based segmentation; fuzzy entropy; fuzzy regions; genetic algorithm; localized weighted filter; magnetic resonance brain images; multiple sclerosis lesions; Brain; Entropy; Genetic algorithms; Image segmentation; Lesions; Magnetic resonance imaging; Multiple sclerosis; Fuzzy membership function; Genetic algorithm; Multiple Sclerosis; Segmentation;
Conference_Titel :
Computer-Based Medical Systems (CBMS), 2012 25th International Symposium on
Conference_Location :
Rome
Print_ISBN :
978-1-4673-2049-8
DOI :
10.1109/CBMS.2012.6266317