Gliomas are the most common primary brain tumors, evolving from the cerebral supportive cells. For clinical follow-up, the evaluation of the preoperative tumor volume is essential. Volumetric assessment of tumor volume with manual segmentation of its outlines is a time-consuming process that can be overcome with the help of computer-assisted segmentation methods. In this paper, a semi-automatic approach for World Health Organization (WHO) grade IV glioma segmentation is introduced that uses balloon inflation forces, and relies on the detection of high-intensity tumor boundaries that are coupled by using contrast agent gadolinium. The presented method is evaluated on 27 magnetic resonance imaging (MRI) data sets and the ground truth data of the tumor boundaries - for evaluation of the results - are manually extracted by neurosurgeons.
@article{arxiv.1102.0634,
title = {Glioblastoma Multiforme Segmentation in MRI Data with a Balloon Inflation Approach},
author = {Dženan Zukić and Jan Egger and Miriam H. A. Bauer and Daniela Kuhnt and Barbara Carl and Bernd Freisleben and Andreas Kolb and Christopher Nimsky},
journal= {arXiv preprint arXiv:1102.0634},
year = {2011}
}
Comments
4 pages, 4 figures, Proc. of the 6th Russian-Bavarian Conference on Bio-Medical Engineering