S. Kloska, M. Wintermark, T. Engelhorn, and J. Fiebach, Acute stroke magnetic resonance imaging: current status and future perspective, Neuroradiology, vol.38, issue.11, pp.189-201, 2010.
DOI : 10.1007/s00234-009-0637-1

S. Pauls, F. Mottaghy, S. Schmidt, S. Kruger, P. Moller et al., Evaluation of lung tumor perfusion by dynamic contrast-enhanced MRI, Magnetic Resonance Imaging, vol.26, issue.10, pp.1334-1341, 2008.
DOI : 10.1016/j.mri.2008.04.005

R. Wolf and J. Detre, Clinical neuroimaging using arterial spin-labeled perfusion magnetic resonance imaging, Neurotherapeutics, vol.102, issue.3, pp.346-359, 2007.
DOI : 10.1016/j.nurt.2007.04.005

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2031222

F. Wittlich, K. Kohno, G. Mies, D. Norris, and M. Hoehnberlage, Quantitative measurement of regional blood flow with gadolinium diethylenetriaminepentaacetate bolus track NMR imaging in cerebral infarcts in rats: validation with the iodo[14C]antipyrine technique., Proceedings of the National Academy of Sciences, vol.92, issue.6, pp.1846-1850, 1995.
DOI : 10.1073/pnas.92.6.1846

W. Shin, S. Horowitz, A. Ragin, Y. Chen, M. Walker et al., Quantitative cerebral perfusion using dynamic susceptibility contrast MRI: Evaluation of reproducibility and age- and gender-dependence with fully automatic image postprocessing algorithm, Magnetic Resonance in Medicine, vol.36, issue.6, pp.1232-1241, 2007.
DOI : 10.1002/mrm.21420

M. Weber, F. Risse, F. Giesel, L. Schad, H. Kauczor et al., Measurement of perfusion using the first-pass dynamic susceptibility-weighted contrast-enhanced (DSC) MRI in neurooncology, Der Radiologe, vol.166, issue.7, pp.618-632, 2005.
DOI : 10.1007/s00117-004-1048-2

C. Fisel, J. Ackerman, R. Buxton, L. Garrido, J. Belliveau et al., MR Contrast Due to Microscopically Heterogeneous Magnetic Susceptibility: Numerical Simulations and Applications to Cerebral Physiology, Magnetic Resonance in Medicine, vol.13, issue.2, pp.336-347, 1991.
DOI : 10.1002/mrm.1910170206

J. Boxerman, P. Bandettini, K. Kwong, J. Baker, T. Davis et al., The intravascular contribution to fmri signal change: monte carlo modeling and diffusion-weighted studiesin vivo, Magnetic Resonance in Medicine, vol.30, issue.1, pp.4-10, 1995.
DOI : 10.1002/mrm.1910340103

L. Van-der-weerd, D. Thomas, J. Thornton, and M. Lythgoe, MRI of Animal Models of Brain Disease, Methods Enzymol, vol.386, pp.149-177, 2004.
DOI : 10.1016/S0076-6879(04)86006-3

E. Ashton, D. Raunig, C. Ng, F. Kelcz, T. Mcshane et al., Scan-rescan variability in perfusion assessment of tumors in MRI using both model and data-derived arterial input functions, Journal of Magnetic Resonance Imaging, vol.51, issue.3, pp.791-796, 2008.
DOI : 10.1002/jmri.21472

J. Detre, J. Leigh, D. Williams, and A. Koretsky, Perfusion imaging, Magnetic Resonance in Medicine, vol.3, issue.1, pp.37-45, 1992.
DOI : 10.1002/mrm.1910230106

D. Williams, J. Detre, J. Leigh, and A. Koretsky, Magnetic resonance imaging of perfusion using spin inversion of arterial water., Proceedings of the National Academy of Sciences, vol.89, issue.1, pp.212-216, 1992.
DOI : 10.1073/pnas.89.1.212

B. Sutton, C. Ouyang, B. Ching, and L. Ciobanu, Functional imaging with FENSI: Flow-enhanced signal intensity, Magnetic Resonance in Medicine, vol.51, issue.2, pp.396-401, 2007.
DOI : 10.1002/mrm.21325

L. Ciobanu, A. Webb, and C. Pennington, Signal enhancement by diffusion: experimental observation of the ???DESIRE??? effect, Journal of Magnetic Resonance, vol.170, issue.2, pp.252-256, 2004.
DOI : 10.1016/j.jmr.2004.07.005

S. Heo, R. Prakash, M. Voss, K. Erickson, C. Ouyang et al., Resting hippocampal blood flow, spatial memory and aging, Brain Research, vol.1315, pp.119-127, 2010.
DOI : 10.1016/j.brainres.2009.12.020

O. Reynaud, L. Bihan, D. Webb, A. Ciobanu, and L. , Improved flow enhanced signal intensity (FENSI) perfusion imaging, International Conference on Magnetic Resonance Microscopy (ICMRM). West Yellowstone, 2009.

O. Reynaud, L. Bihan, D. Webb, A. Ciobanu, and L. , Magnetization transfer effect correction in DESIRE based pulse sequences. Euromar Magnetic Resonance Conference, 2009.

M. Unekawa, M. Tomita, Y. Tomita, H. Toriumi, K. Miyakib et al., RBC velocities in single capillaries of mouse and rat brains are the same, despite 10-fold difference in body size, Brain Research, vol.1320, pp.69-73, 2010.
DOI : 10.1016/j.brainres.2010.01.032

P. Herscovitch and M. Raichle, What is the Correct Value for the Brain-Blood Partition Coefficient for Water?, Journal of Cerebral Blood Flow & Metabolism, vol.39, issue.1, pp.65-69, 1985.
DOI : 10.1097/00004728-198012000-00001

Y. Yang, Perfusion MR imaging with pulsed arterial spin-labeling: Basic principles and applications in functional brain imaging, Concepts in Magnetic Resonance, vol.5, issue.5, pp.347-357, 2002.
DOI : 10.1002/cmr.10033

R. Vannucci, D. Lyons, and F. Vasta, Regional cerebral blood flow during hypoxia-ischemia in immature rats, Stroke, vol.19, issue.2, pp.245-250, 1988.
DOI : 10.1161/01.STR.19.2.245

S. Beg, J. Hansen-schwartz, P. Wikman, C. Xu, and L. Edvinsson, Receptor Upregulation after Subarachnoid Hemorrhage in Rat, Journal of Cerebral Blood Flow & Metabolism, vol.43, issue.6, pp.846-856, 2006.
DOI : 10.1097/00001756-200212200-00034

R. Henkelman, G. Stanisz, and S. Graham, Magnetization transfer in MRI: a review, NMR in Biomedicine, vol.14, issue.2, pp.57-64, 2001.
DOI : 10.1002/nbm.683