1. bookVolume 14 (2014): Issue 6 (December 2014)
Journal Details
License
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Journal
First Published
07 Mar 2008
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6 times per year
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English
access type Open Access

Unsupervised Pathological Area Extraction using 3D T2 and FLAIR MR Images

Published Online: 15 Dec 2014
Page range: 357 - 364
Received: 31 May 2014
Accepted: 31 Oct 2014
Journal Details
License
Format
Journal
First Published
07 Mar 2008
Publication timeframe
6 times per year
Languages
English

This work discusses fully automated extraction of brain tumor and edema in 3D MR volumes. The goal of this work is the extraction of the whole pathological area using such an algorithm that does not require a human intervention. For the good visibility of these kinds of tissues both T2-weighted and FLAIR images were used. The proposed method was tested on 80 MR volumes of publicly available BRATS database, which contains high and low grade gliomas, both real and simulated. The performance was evaluated by the Dice coefficient, where the results were differentiated between high and low grade and real and simulated gliomas. The method reached promising results for all of the combinations of images: real high grade (0.73 ± 0.20), real low grade (0.81 ± 0.06), simulated high grade (0.81 ± 0.14), and simulated low grade (0.81 ± 0.04).

Keywords

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