Title :
Quantitative tumour tissue measurements in subjects with high-grade gliomas
Author :
Paweł Szwarc;Jacek Kawa;Ewa Pietka
Author_Institution :
Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland
fDate :
6/1/2011 12:00:00 AM
Abstract :
The paper deals with the segmentation of brain tumours in Magnetic Resonance (MR) images. The segmentation method developed is based on the analysis of three MR series namely: T1-weighted (T1W), contrast enhanced T1W (CE-T1W) and perfusion maps images. The differential images after and before contrast agent administration are segmented with the use of the Kernelised Fuzzy C-Means (KFCM) method, yielding a binary mask of the suspected tumour. Next, the mask is superimposed over the perfusion maps. The perfusion intensities of corresponding areas in both brain hemispheres are compared. The results obtained for ten subjects with glioblastoma multiforme (GBM) and anaplastic astrocytoma (AA) are discussed.
Keywords :
"Image segmentation","Lesions","Imaging","Kernel","Electronic mail","Biomedical engineering"
Conference_Titel :
Mixed Design of Integrated Circuits and Systems (MIXDES), 2011 Proceedings of the 18th International Conference
Print_ISBN :
978-1-4577-0304-1
