P. Vaupel and A. Mayer, Hypoxia in cancer: significance and impact on clinical outcome, Cancer and Metastasis Reviews, vol.96, issue.4, pp.225-239, 2007.
DOI : 10.1007/s10555-007-9055-1

J. Tatum, G. Kelloff, and R. Gillies, Hypoxia: Importance in tumor biology, noninvasive measurement by imaging, and value of its measurement in the management of cancer therapy, International Journal of Radiation Biology, vol.3, issue.1, pp.699-757, 2006.
DOI : 10.1002/1097-0142(20000601)88:11<2606::AID-CNCR25>3.0.CO;2-W

S. Ogawa, T. Lee, A. Kay, and D. Tank, Brain magnetic resonance imaging with contrast dependent on blood oxygenation., Proceedings of the National Academy of Sciences, vol.87, issue.24, pp.9868-9872, 1990.
DOI : 10.1073/pnas.87.24.9868

J. Lu, G. Dai, and Y. Egi, Characterization of cerebrovascular responses to hyperoxia and hypercapnia using MRI in rat, NeuroImage, vol.45, issue.4, pp.1126-1134, 2009.
DOI : 10.1016/j.neuroimage.2008.11.037

W. Lin, R. Paczynski, A. Celik, K. Kuppusamy, C. Hsu et al., Experimental hypoxemic hypoxia: Changes in R2* of brain parenchyma accurately reflect the combined effects of changes in arterial and cerebral venous oxygen saturation, Magnetic Resonance in Medicine, vol.29, issue.3, pp.474-481, 1998.
DOI : 10.1002/mrm.1910390318

S. Chopra, W. Foltz, and M. Milosevic, Comparing oxygen-sensitive MRI (BOLD R2*) with oxygen electrode measurements: A pilot study in men with prostate cancer, International Journal of Radiation Biology, vol.39, issue.9
DOI : 10.1016/S0090-4295(98)00500-7

P. Hoskin, D. Carnell, and N. Taylor, Hypoxia in Prostate Cancer: Correlation of BOLD-MRI With Pimonidazole Immunohistochemistry???Initial Observations, International Journal of Radiation Oncology*Biology*Physics, vol.68, issue.4, pp.1065-1071, 2007.
DOI : 10.1016/j.ijrobp.2007.01.018

L. Rodrigues, F. Howe, J. Griffi-ths, and S. Robinson, Tumor R2* is a prognostic indicator of acute radiotherapeutic response in rodent tumors, Journal of Magnetic Resonance Imaging, vol.14, issue.4, pp.482-488, 2004.
DOI : 10.1002/jmri.20024

R. Avni, B. Cohen, and M. Neeman, Hypoxic stress and cancer: imaging the axis of evil in tumor metastasis, NMR in Biomedicine, vol.69, issue.24, pp.569-581, 2011.
DOI : 10.1002/nbm.1632

A. Padhani, Science to Practice: What Does MR Oxygenation Imaging Tell Us about Human Breast Cancer Hypoxia?, Radiology, vol.254, issue.1, pp.1-3, 2010.
DOI : 10.1148/radiol.091669

T. Christen, B. Lemasson, and N. Pannetier, Evaluation of a quantitative blood oxygenation level-dependent (qBOLD) approach to map local blood oxygen saturation, NMR in Biomedicine, vol.29, issue.1, pp.393-403, 2010.
DOI : 10.1002/nbm.1603
URL : https://hal.archives-ouvertes.fr/inserm-00629822

H. An and W. Lin, Quantitative Measurements of Cerebral Blood Oxygen Saturation Using Magnetic Resonance Imaging, Journal of Cerebral Blood Flow & Metabolism, vol.61, issue.8, pp.1225-1236, 2000.
DOI : 10.1097/00004647-200008000-00008

X. He and D. Yablonskiy, Quantitative BOLD: Mapping of human cerebral deoxygenated blood volume and oxygen extraction fraction: Default state, Magnetic Resonance in Medicine, vol.48, issue.1, pp.115-126, 2007.
DOI : 10.1002/mrm.21108

P. Benda, K. Someda, J. Messer, and W. Sweet, Morphological and immunochemical studies of rat glial tumors and clonal strains propagated in culture, Journal of Neurosurgery, vol.34, issue.3, pp.310-323, 1971.
DOI : 10.3171/jns.1971.34.3.0310

E. Bräuer-krisch, H. Requardt, and T. Brochard, New technology enables high precision multislit collimators for microbeam radiation therapy, Review of Scientific Instruments, vol.80, issue.7, p.74301, 2009.
DOI : 10.1063/1.3170035

L. Xing and J. Hornak, T2 calculations in MRI: linear versus nonlinear methods, J Imaging Sci Technol, vol.38, issue.2, pp.154-157, 1994.

I. Troprès, L. Lamalle, and M. Péoc-'h, In vivo assessment of tumoral angiogenesis, Magnetic Resonance in Medicine, vol.88, issue.Suppl, pp.533-541, 2004.
DOI : 10.1002/mrm.20017

S. Valable, B. Lemasson, and R. Farion, study, NMR in Biomedicine, vol.90, issue.3, pp.1043-1056, 2008.
DOI : 10.1002/nbm.1278
URL : https://hal.archives-ouvertes.fr/inserm-00861168

W. Spees, D. Yablonskiy, M. Oswood, and J. Ackerman, Water proton MR properties of human blood at 1.5 Tesla: Magnetic susceptibility,T1,T2,T*2, and non-Lorentzian signal behavior, Magnetic Resonance in Medicine, vol.39, issue.4, pp.533-542, 2001.
DOI : 10.1002/mrm.1072

I. Troprès, S. Grimault, and A. Vaeth, Vessel size imaging, Magnetic Resonance in Medicine, vol.45, issue.3, pp.397-408, 2001.
DOI : 10.1002/1522-2594(200103)45:3<397::AID-MRM1052>3.3.CO;2-V

J. Sedlacik and J. Reichenbach, Validation of quantitative estimation of tissue oxygen extraction fraction and deoxygenated blood volume fraction in phantom and in vivo experiments by using MRI, Magnetic Resonance in Medicine, vol.179, issue.pt 1, pp.910-921, 2010.
DOI : 10.1002/mrm.22274

L. Saitta, O. Heese, and A. Förster, Signal intensity in T2??? magnetic resonance imaging is related to brain glioma grade, European Radiology, vol.25, issue.5, pp.1068-1076, 2011.
DOI : 10.1007/s00330-010-2004-3

M. Sohlin and L. Schad, Susceptibility-related MR signal dephasing under nonstatic conditions: Experimental verification and consequences for qBOLD measurements, Journal of Magnetic Resonance Imaging, vol.53, issue.Suppl 4, pp.417-425, 2011.
DOI : 10.1002/jmri.22423

Y. Sakata, O. Grinberg, S. Grinberg, R. Springett, and H. Swartz, Simultaneous NIR-EPR Spectroscopy of Rat Brain Oxygenation, Adv Exp Med Biol, vol.566, pp.357-362, 2005.
DOI : 10.1007/0-387-26206-7_47

L. Mcphail and S. Robinson, Intrinsic Susceptibility MR Imaging of Chemically Induced Rat Mammary Tumors: Relationship to Histologic Assessment of Hypoxia and Fibrosis, Radiology, vol.254, issue.1, pp.110-118, 2010.
DOI : 10.1148/radiol.2541090395

J. Dickson, T. Ash, and G. Williams, Quantitative BOLD: The effect of diffusion, Journal of Magnetic Resonance Imaging, vol.58, issue.4, pp.953-961, 2010.
DOI : 10.1002/jmri.22151

G. Zaharchuk, M. Straka, M. Marks, G. Albers, M. Moseley et al., Combined arterial spin label and dynamic susceptibility contrast measurement of cerebral blood flow, Magnetic Resonance in Medicine, vol.31, issue.6, pp.1548-1556, 2010.
DOI : 10.1002/mrm.22329

H. An and W. Lin, Impact of intravascular signal on quantitative measures of cerebral oxygen extraction and blood volume under normo- and hypercapnic conditions using an asymmetric spin echo approach, Magnetic Resonance in Medicine, vol.46, issue.4, pp.708-716, 2003.
DOI : 10.1002/mrm.10576

N. Fujita, M. Shinohara, H. Tanaka, K. Yutani, H. Nakamura et al., Quantitative mapping of cerebral deoxyhemoglobin content using MR imaging, NeuroImage, vol.20, issue.4, pp.2071-2083, 2003.
DOI : 10.1016/j.neuroimage.2003.06.002