Parcourir par auteur "Tsolaki, E."
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Automated differentiation of glioblastomas from intracranial metastases using 3T MR spectroscopic and perfusion data
Tsolaki, E.; Svolos, P.; Kousi, E.; Kapsalaki, E.; Fountas, K.; Theodorou, K.; Tsougos, I. (2013)Purpose Differentiation of glioblastomas from metastases is clinical important, but may be difficult even for expert observers. To investigate the contribution of machine learning algorithms in the differentiation of ... -
Brain lesion classification using 3T MRS spectra and paired SVM kernels
Dimou, I.; Tsougos, I.; Tsolaki, E.; Kousi, E.; Kapsalaki, E.; Theodorou, K.; Kounelakis, M.; Zervakis, M. (2011)The increased power and resolution capabilities of 3T Magnetic Resonance (MR) scanners have extended the reach of Magnetic Resonance Spectroscopy as a non-invasive diagnostic tool. Practical sensor calibration issues, ... -
Classification methods for the differentiation of atypical meningiomas using diffusion and perfusion techniques at 3-T MRI
Svolos, P.; Tsolaki, E.; Theodorou, K.; Fountas, K.; Kapsalaki, E.; Fezoulidis, I.; Tsougos, I. (2013)The purpose was to investigate the contribution of machine learning algorithms using diffusion and perfusion techniques in the differentiation of atypical meningiomas from glioblastomas and metastases. Apparent diffusion ... -
Classification of pathological human brain lesions using magnetic resonance spectroscopy at 3T
Dimou, I. N.; Tsougos, I.; Tsolaki, E.; Theodorou, K. (2009)Magnetic Resonance Spectroscopy is a powerful non-invasive diagnostic tool that is used in conjunction with MRI techniques to provide identification and quantification of biologically important compounds in soft tissue. ... -
Distinct peak at 3.8 ppm observed by 3T MR spectroscopy in meningiomas, while nearly absent in high-grade gliomas and cerebral metastases
Kousi, E.; Tsougos, I.; Fountas, K.; Theodorou, K.; Tsolaki, E.; Fezoulidis, I.; Kapsalaki, E. (2012)The purpose of the present study was to evaluate distinct metabolic features of meningiomas to distinguish them from other brain lesions using proton magnetic resonance spectroscopy. The study was performed on 17 meningiomas, ... -
Fast spectroscopic multiple analysis (FASMA) for brain tumor classification: a clinical decision support system utilizing multi-parametric 3T MR data
Tsolaki, E.; Svolos, P.; Kousi, E.; Kapsalaki, E.; Fezoulidis, I.; Fountas, K.; Theodorou, K.; Kappas, C.; Tsougos, I. (2015)A clinical decision support system (CDSS) for brain tumor classification can be used to assist in the diagnosis and grading of brain tumors. A Fast Spectroscopic Multiple Analysis (FASMA) system that uses combinations of ... -
Investigating brain tumor differentiation with diffusion and perfusion metrics at 3T MRI using pattern recognition techniques
Svolos, P.; Tsolaki, E.; Kapsalaki, E.; Theodorou, K.; Fountas, K.; Fezoulidis, I.; Tsougos, I. (2013)The aim of this study was to evaluate the contribution of diffusion and perfusion MR metrics in the discrimination of intracranial brain lesions at 3T MRI, and to investigate the potential diagnostic and predictive value ... -
Spectroscopic Evaluation of Glioma Grading at 3T: The Combined Role of Short and Long TE
Kousi, E.; Tsougos, I.; Tsolaki, E.; Fountas, K. N.; Theodorou, K.; Fezoulidis, I.; Kapsalaki, E.; Kappas, C. (2012)Purpose. To evaluate the diagnostic value of 3T H-1-MRS in grading cerebral gliomas using short and long echo times. Methods. (HMRS)-H-1 was performed on 71 patients with untreated cerebral gliomas. Metabolite ratios of ... -
Strengths and Weaknesses of 1.5T and 3T MRS Data in Brain Glioma Classification
Kounelakis, M. G.; Dimou, I. N.; Zervakis, M. E.; Tsougos, I.; Tsolaki, E.; Kousi, E.; Kapsalaki, E.; Theodorou, K. (2011)Although magnetic resonance spectroscopy (MRS) methods of 1.5Tesla (T) and 3T have been widely applied during the last decade for noninvasive diagnostic purposes, only a few studies have been reported on the value of the ...