DocumentCode :
3197944
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
fYear :
2013
fDate :
3-7 July 2013
Firstpage :
3339
Lastpage :
3342
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;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2013.6610256
Filename :
6610256
Link To Document :
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