Title :
Volume identification and estimation of MRI brain tumor
Author :
Moftah, Hossam M. ; Ghali, Neveen I. ; Ella Hassanien, Aboul ; Ismail, Muhammad Ali
Author_Institution :
Fac. of Comput. & Inf. Syst., Beni Suef Univ., Beni Suef, Egypt
Abstract :
This paper deals with two dimensional magnetic resonance imaging (MRI) sequence of brain slices which include many objects to identify and estimate the volume of the brain tumors. More than twenty five features based on shape, color and texture was extracted to obtain feature vector for each object to characterize the tumor and identify it. Experimental results show that the accuracy of the estimation of tissue volumes is very high.
Keywords :
biomedical MRI; brain; feature extraction; identification; medical image processing; tumours; MRI brain tumor; MRI sequence; brain slices; color feature extraction; shape feature extraction; texture feature extraction; tissue estimation accuracy; tumor characterization; tumor identification; two dimensional magnetic resonance imaging sequence; volume estimation; volume identification; Clustering algorithms; Feature extraction; Image segmentation; Labeling; Magnetic resonance imaging; Tumors; Volume measurement; brain tumors volume estimation; brain volume Identification;
Conference_Titel :
Hybrid Intelligent Systems (HIS), 2012 12th International Conference on
Conference_Location :
Pune
Print_ISBN :
978-1-4673-5114-0
DOI :
10.1109/HIS.2012.6421320
