Title : 
An automatic brain tumor segmentation tool
         
        
            Author : 
Diaz, Ivan ; Boulanger, Pierre ; Greiner, Russell ; Hoehn, Bret ; Rowe, Lindsay ; Murtha, Albert
         
        
            Author_Institution : 
Dept. of Comput. Sci., Univ. of Alberta, Edmonton, AB, Canada
         
        
        
        
        
        
            Abstract : 
This paper introduces an automatic brain tumor segmentation method (ABTS) for segmenting multiple components of brain tumor using four magnetic resonance image modalities. ABTS´s four stages involve automatic histogram multi-thresholding and morphological operations including geodesic dilation. Our empirical results, on 16 real tumors, show that ABTS works very effectively, achieving a Dice accuracy compared to expert segmentation of 81% in segmenting edema and 85% in segmenting gross tumor volume (GTV).
         
        
            Keywords : 
biomedical MRI; brain; image segmentation; medical image processing; tumours; ABTS four stage; Dice accuracy; automatic brain tumor segmentation method; edema segmentation; geodesic dilation; magnetic resonance image modality; Accuracy; Biomedical imaging; Histograms; Image segmentation; Magnetic resonance imaging; Manuals; Tumors;
         
        
        
        
            Conference_Titel : 
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
         
        
            Conference_Location : 
Osaka
         
        
        
        
            DOI : 
10.1109/EMBC.2013.6610256