Title :
Automatic segmentation and labeling of human brain tissue from MR images
Author :
Mokbel, H.A. ; Morsy, M.El-S. ; Abou-Chadi, F.E.Z.
Author_Institution :
Fac. of Eng., Mansoura Univ., Egypt
Abstract :
This work presents a technique for automatic tissue labeling of 2-D magnetic resonance (MR) images of the human brain. This technique consists of two components: an unsupervised clustering algorithm and a knowledge-based technique. The knowledge-based technique contains information on the cluster distribution in feature space and tissue models. This approach also provides a first step toward classification of normal and abnormal images
Keywords :
biological tissues; biomedical MRI; brain; image classification; image segmentation; knowledge based systems; medical image processing; pattern clustering; unsupervised learning; 2-D magnetic resonance images; MR images; abnormal images; automatic segmentation; classification; cluster distribution; feature space; human brain tissue; knowledge-based technique; labeling; normal images; tissue models; unsupervised clustering algorithm; Biomedical imaging; Brain; Clustering algorithms; Fuzzy sets; Humans; Image segmentation; Labeling; Magnetic resonance; Magnetic resonance imaging; Skull;
Conference_Titel :
Radio Science Conference, 2000. 17th NRSC '2000. Seventeenth National
Conference_Location :
Minufiya
Print_ISBN :
977-5031-64-8
DOI :
10.1109/NRSC.2000.838979
