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

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3197944