Title :
Differentiation between brain metastases and glioblastoma multiforme based on MRI, MRS and MRSI
Author :
Luts, Jan ; Suykens, Johan A K ; Van Huffel, Sabine ; Laudadio, Teresa ; Van Cauter, Sofie ; Himmelreich, Uwe ; Molla, Enrique ; Piquer, Jose ; Martinez-Bisbal, M. Carmen ; Celda, Bernardo
Author_Institution :
Dept. of Electr. Eng. (ESAT), Katholieke Univ. Leuven, Leuven, Belgium
Abstract :
Brain metastases and glioblastoma multiforme are the most aggressive and common brain tumours in adults and they require a different clinical management. Anatomical magnetic resonance imaging (MRI) or clinical history, cannot always clearly distinguish between them. This study describes and verifies the use of magnetic resonance spectroscopy (MRS) and magnetic resonance spectroscopic imaging (MRSI) in combination with MRI for differential diagnosis of glioblastomas and metastases. Feature selection methods are applied to the magnetic resonance (MR) spectra of 121 patients and relevant features are detected. Different classification methods are used to distinguish glioblastoma multiforme and metastasis based on the single-voxel MR spectra, but no reliable differentiation is obtained: the accuracy varies from 50 to 78%. Next, MRSI and MRI data from 10 patients (5 glioblastomas, 5 solitary metastases) are used for differentiation purposes. The combination of multivoxel MR data and MRI data suggests a more clear differentiation between glioblastoma multiforme and brain metastasis. The results are visualized based on nosologic images, which are generated by including spectroscopic information in the segmented MR image. The methodology offers a new way that may support clinicians in decision making.
Keywords :
biomedical MRI; brain; cancer; feature extraction; image segmentation; medical image processing; tumours; brain metastasis; brain tumours; decision making; feature detection; glioblastoma multiforme; image segmentation; magnetic resonance imaging; magnetic resonance spectroscopic imaging; magnetic resonance spectroscopy; nosologic images; single-voxel MR spectra; Computer vision; Data visualization; History; Image generation; Image segmentation; Magnetic resonance; Magnetic resonance imaging; Metastasis; Spectroscopy; Tumors;
Conference_Titel :
Computer-Based Medical Systems, 2009. CBMS 2009. 22nd IEEE International Symposium on
Conference_Location :
Albuquerque, NM
Print_ISBN :
978-1-4244-4879-1
Electronic_ISBN :
1063-7125
DOI :
10.1109/CBMS.2009.5255249