V. Multi-center trial with protocols and prototype test objects for the assessment of MRI equipment, Magnetic Resonance Imaging, vol.6, issue.2, pp.201-214, 1988. ,
DOI : 10.1016/0730-725X(88)90451-1
II. Performance assessment and quality control in MRI by Eurospin test objects and protocols, Magnetic Resonance Imaging, vol.11, issue.6, pp.817-833, 1993. ,
DOI : 10.1016/0730-725X(93)90199-N
Quality assurance methods and phantoms for magnetic resonance imaging: Report of AAPM nuclear magnetic resonance Task Group No. 1, Medical Physics, vol.17, issue.2, pp.287-295, 1990. ,
DOI : 10.1118/1.596566
III. Trial of modifications to Eurospin MRI test objects, Magnetic Resonance Imaging, vol.11, issue.6, pp.835-874, 1993. ,
DOI : 10.1016/0730-725X(93)90200-W
Acceptance testing of magnetic resonance imaging systems: Report of AAPM Nuclear Magnetic Resonance Task Group No. 6, Medical Physics, vol.19, issue.1, pp.217-229, 1992. ,
DOI : 10.1118/1.596903
MRI quality control: six imagers studied using eleven unified image quality parameters, European Radiology, vol.14, issue.10, pp.1859-1865, 2004. ,
DOI : 10.1007/s00330-004-2278-4
Multicenter trial for the set-up of a MRI quality assurance programme, Magnetic Resonance Imaging, vol.22, issue.1, pp.93-101, 2004. ,
DOI : 10.1016/j.mri.2003.04.001
Quality assurance for MRI: practical experience., The British Journal of Radiology, vol.73, issue.868, pp.376-383, 2000. ,
DOI : 10.1259/bjr.73.868.10844863
Report on a multicenter fMRI quality assurance protocol, Journal of Magnetic Resonance Imaging, vol.15, issue.6, pp.827-839, 2006. ,
DOI : 10.1002/jmri.20583
IV. In vivo measurements of proton relaxation times in human brain, liver, and skeletal muscle: A multicenter MRI study, Magnetic Resonance Imaging, vol.11, issue.6, pp.841-850, 1993. ,
DOI : 10.1016/0730-725X(93)90201-N
Grand Ouest Glioma Project: from the core to beyond the margin, 2005. ,
Tissue characterization of intracranial tumours by MR imaging In vivo evaluation of T1 and T2 relaxation behavior at 1.5T, Acta Radiol, vol.32, pp.498-504, 1991. ,
Measurement and meaning of relaxation times: specific and non-specific variations in cancer, Ann Ist Super Sanita, vol.19, pp.107-120, 1983. ,
Quantification of endothelial permeability, leakage space, and blood volume in brain tumors using combined T1 and T2* contrast-enhanced dynamic MR imaging, Journal of Magnetic Resonance Imaging, vol.78, issue.6, pp.575-585, 2000. ,
DOI : 10.1002/1522-2586(200006)11:6<575::AID-JMRI2>3.0.CO;2-1
Fractional anisotropy value by diffusion tensor magnetic resonance imaging as a predictor of cell density and proliferation activity of glioblastomas, Surgical Neurology, vol.63, issue.1, pp.56-61, 2005. ,
DOI : 10.1016/j.surneu.2004.02.034
Functional diffusion map: A noninvasive MRI biomarker for early stratification of clinical brain tumor response, Proceedings of the National Academy of Sciences, vol.102, issue.15, pp.5524-5529, 2005. ,
DOI : 10.1073/pnas.0501532102
Correlation between Magnetic Resonance Spectroscopy Imaging and Image-guided Biopsies: Semiquantitative and Qualitative Histopathological Analyses of Patients with Untreated Glioma, Neurosurgery, vol.49, pp.823-829, 2001. ,
Correlations between magnetic resonance spectroscopy and image-guided histopathology, with special attention to radiation necrosis, Neurosurgery, vol.51, pp.912-920, 2002. ,
MRI texture analysis on texture test objects, normal brain and intracranial tumors, Magnetic Resonance Imaging, vol.21, issue.9, pp.989-993, 2003. ,
DOI : 10.1016/S0730-725X(03)00212-1
Estimating kinetic parameters from dynamic contrast-enhanced t1-weighted MRI of a diffusable tracer: Standardized quantities and symbols, Journal of Magnetic Resonance Imaging, vol.10, issue.3, pp.223-232, 1999. ,
DOI : 10.1002/(SICI)1522-2586(199909)10:3<223::AID-JMRI2>3.0.CO;2-S
Geometric Distortion in Structural Magnetic Resonance Imaging, Current Medical Imaging Reviews, vol.1, issue.1 ,
DOI : 10.2174/1573405052953029
Assessment of the Accuracy of Stereotactic Target Localization Using Magnetic Resonance Imaging: A Phantom Study, Journal of Radiosurgery, vol.1, issue.2, pp.99-111, 1998. ,
DOI : 10.1023/B:JORA.0000010893.37324.87
Influence of MRI acquisition protocols and image intensity normalization methods on texture classification, Magnetic Resonance Imaging, vol.22, issue.1, pp.81-91, 2004. ,
DOI : 10.1016/j.mri.2003.09.001
The impact of image dynamic range on texture classification of brain white matter, BMC Medical Imaging, vol.18, issue.8, p.8, 2008. ,
DOI : 10.1109/34.531802
Does new magnetic resonance imaging technology provide better geometrical accuracy during stereotactic imaging?, Journal of Neurosurgery, vol.102, issue.s_supplement, pp.8-13, 2005. ,
DOI : 10.3171/jns.2005.102.s_supplement.0008
Neuronavigation and surgery of intracerebral tumours, Journal of Neurology, vol.15, issue.6, pp.1123-1136, 2006. ,
DOI : 10.1007/s00415-006-0158-3
Quantitative MRI of the brain, pp.68-69, 2004. ,
DOI : 10.1002/0470869526
Magnetic resonance imaging contrast-enhanced relaxometry of breast tumors: an MRI multicenter investigation concerning 100 patients, Magnetic Resonance Imaging, vol.22, issue.4, pp.475-481, 2004. ,
DOI : 10.1016/j.mri.2004.01.024