Epidemiology of stroke, The Lancet, vol.339, issue.8789, pp.332-333, 1992. ,
DOI : 10.1016/0140-6736(92)91658-U
Comparable Studies of the Incidence of Stroke and its Pathological Types : Results From an International Collaboration, Stroke, vol.28, issue.3, pp.91-99, 1997. ,
DOI : 10.1161/01.STR.28.3.491
Recombinant tissue plasminogen activator for acute ischaemic stroke: an updated systematic review and meta-analysis, The Lancet, vol.379, issue.9834, pp.236-2372, 2012. ,
DOI : 10.1016/S0140-6736(12)60738-7
Diffusion- and Perfusion-Weighted MRI : The DWI/PWI Mismatch Region in Acute Stroke, Stroke, vol.30, issue.8, pp.1591-1597, 1999. ,
DOI : 10.1161/01.STR.30.8.1591
Neuroimaging in acute ischaemic stroke: insights into unanswered questions of pathophysiology, Journal of Internal Medicine, vol.22, issue.Suppl. 6, pp.172-190, 2010. ,
DOI : 10.1111/j.1365-2796.2009.02200.x
Beyond Mismatch: Evolving Paradigms in Imaging the Ischemic Penumbra With Multimodal Magnetic Resonance Imaging, Stroke, vol.34, issue.11, pp.2729-2735, 2003. ,
DOI : 10.1161/01.STR.0000097608.38779.CC
Systematic Review of Diffusion and Perfusion Imaging in Acute Ischemic Stroke, Stroke, vol.31, issue.11, pp.2723-2731, 2000. ,
DOI : 10.1161/01.STR.31.11.2723
Is there an apparent difusion coeicient threshold in predicting tissue viability in hyperacute stroke, Stroke, vol.32, issue.11, pp.286-2291, 2001. ,
Predicting Tissue Outcome in Acute Human Cerebral Ischemia Using Combined Diffusion- and Perfusion-Weighted MR Imaging, Stroke, vol.32, issue.4, pp.933-992, 2001. ,
DOI : 10.1161/01.STR.32.4.933
Prediction of Early Neurological Deterioration Using Diffusion- and Perfusion-Weighted Imaging in Hyperacute Middle Cerebral Artery Ischemic Stroke * Editorial Comment, Stroke, vol.33, issue.9, pp.2197-2203, 2002. ,
DOI : 10.1161/01.STR.0000027861.75884.DF
Which MR-derived Perfusion Parameters are the Best Predictors of Infarct Growth in Hyperacute Stroke? Comparative Study between Relative and Quantitative Measurements, Radiology, vol.223, issue.2, pp.361-370, 2002. ,
DOI : 10.1148/radiol.2232010673
Predicting cerebral ischemic infarct volume with difusion and perfusion MR imaging, American Journal of Neuroradiology, vol.3, pp.1785-179, 2002. ,
Statistical Prediction of Tissue Fate in Acute Ischemic Brain Injury, Journal of Cerebral Blood Flow & Metabolism, vol.17, issue.10, pp.1336-135, 2005. ,
DOI : 10.1073/pnas.89.1.212
he relationship between CBF, evoked potentials and the clinical features in cerebral ischaemia, Acta Neurologica Scandinavica, vol.78, pp.175-190, 1980. ,
S c h l a u ge ta l . , " E n l a r g e m e n t of human cerebral ischemic lesion volumes measured by difusion-weighted magnetic resonance imaging, Annals of Neurology, vol.1, issue.5, pp.581-589, 1997. ,
Does the Mismatch Match the Penumbra?: Magnetic Resonance Imaging and Positron Emission Tomography in Early Ischemic Stroke, Stroke, vol.36, issue.5, pp.980-985, 2005. ,
DOI : 10.1161/01.STR.0000160751.79241.a3
Prediction of stroke outcome with echoplanar perfusion-and difusionweighted MRI, Neurology, vol.51, issue.2, pp.18-26, 1998. ,
Computed tomography and magnetic resonance perfusion imaging in ischemic stroke: Definitions and thresholds, Annals of Neurology, vol.233, issue.Suppl 1, pp.38-39, 2011. ,
DOI : 10.1002/ana.22500
Systematic review of perfusion imaging with computed tomography and magnetic resonance in acute ischemic stroke: heterogeneity of acquisition and postprocessing parameters: a translational medicine research collaboration multicentre acute stroke imaging study, Stroke, vol.3, issue.2, pp.563-566, 2012. ,
Stroke: imaging and differential diagnosis, Journal of Neural Transmission, issue.63, pp.19-36, 2002. ,
DOI : 10.1007/978-3-7091-6137-1_2
P a r s o n s ,P .M .D e s m o n de ta l . , " h eu s e of PWI and DWI measures in the design of " pro-of-concept " stroke trials, Journal of Neuroimaging, issue.12, pp.1-2 ,
Computed Tomography Perfusion Prognostic Maps Do Not Predict Reversible and Irreversible Neurological Dysfunction following Reperfusion Therapies, International Journal of Stroke, vol.4, issue.6, pp.5-56, 2011. ,
DOI : 10.1161/01.STR.0000209238.61459.39
Magnetic resonance perfusion difusion mismatch and thrombolysis in acute ischaemic stroke: a systematic review of the evidence to date, Journal of Neurology Neurosurgery and Psychiatry, vol.7, issue.8 5, pp.85-90, 2007. ,
Medical image analysis methods in MR/CT-imaged acute-subacute ischemic stroke lesion: Segmentation, prediction and insights into dynamic evolution simulation models. A critical appraisal, NeuroImage: Clinical, vol.1, issue.1, pp.16-178, 2012. ,
DOI : 10.1016/j.nicl.2012.10.003
A r m i t a g ee ta l . , " D oa c u t e difusion-and perfusion-weighted MRI lesions identify inal infarct volume in ischemic stroke, Stroke, vol.37, issue.1, pp.98-108, 2006. ,
Spatiotemporal Atlas Estimation for Developmental Delay Detection in Longitudinal Datasets, Medical Image Computing and Computer-Assisted Intervention (MICCAI '09), pp.297-327, 2009. ,
DOI : 10.1007/978-3-642-04268-3_37
URL : https://hal.archives-ouvertes.fr/inria-00408293
Statistical models of currents for measuring the variability of anatomical curves, surfaces and their evolution, hese de sciences, 2010. ,
Comparison of the endocranial ontogenies between chimpanzees and bonobos via temporal regression and spatiotemporal registration, Journal of Human Evolution, vol.62, issue.1, pp.7-88, 2012. ,
DOI : 10.1016/j.jhevol.2011.10.004
URL : https://hal.archives-ouvertes.fr/hal-00816048
A Survey of the Statistical Theory of Shape, Statistical Science, vol.4, issue.2, pp.87-99, 1989. ,
DOI : 10.1214/ss/1177012582
General Pattern heory: A Mathematical Study of Regular Structures,ClarendonPress, 1993. ,
Surface Matching via Currents, Information Processing in Medical Imaging, pp.381-392, 2005. ,
DOI : 10.1007/11505730_32
URL : https://hal.archives-ouvertes.fr/hal-00263652
Difeomorphisms groups and pattern matching in image analysis, International Journal of Computer Vision, vol.28, issue.3, pp.213-221, 1998. ,
DOI : 10.1023/A:1008001603737
A global phenomenological model of ischemic stroke with stress on spreading depressions, Progress in Biophysics and Molecular Biology, vol.97, issue.1, p.27, 2008. ,
DOI : 10.1016/j.pbiomolbio.2007.10.004
URL : https://hal.archives-ouvertes.fr/hal-00859348
In Silico Study of the Influence of Intensity and Duration of Blood Flow Reduction on Cell Death Through Necrosis or Apoptosis During Acute Ischemic Stroke, Acta Biotheoretica, vol.50, issue.Suppl 1, pp.171-190, 2010. ,
DOI : 10.1007/s10441-010-9100-2
URL : https://hal.archives-ouvertes.fr/hal-00788715
A phenomenological model of the growth of the necrotic area in ischemic stroke, Mathematical and Computer Modelling, vol.51, issue.9-10, pp.9-101011, 2010. ,
DOI : 10.1016/j.mcm.2008.07.025
URL : https://hal.archives-ouvertes.fr/hal-00859353
Does Diffusion-Weighted Imaging Represent the Ischemic Core? An Evidence-Based Systematic Review, American Journal of Neuroradiology, vol.30, issue.6, pp.1206-1212, 2009. ,
DOI : 10.3174/ajnr.A1547
Heterogeneity in Infarct Patterns and Clinical Outcomes Following Internal Carotid Artery Occlusion, Archives of Neurology, vol.66, issue.12, pp.1523-1528, 2009. ,
DOI : 10.1001/archneurol.2009.259
W r i g h te ta l . , " h ee x i s t e n c ea n d evolution of difusion-perfusion mismatched tissue in white and gray matter ater acute stroke, Stroke, vol.61, issue.0, pp.2132-2137, 2005. ,
A Topographic Study of the Evolution of the MR DWI/PWI Mismatch Pattern and Its Clinical Impact: A Study by the EPITHET and DEFUSE Investigators, Stroke, vol.42, issue.6, pp.1596-1601, 2011. ,
DOI : 10.1161/STROKEAHA.110.609016