H. Aronen, I. Gazit, D. Louis, B. Buchbinder, F. Pardo et al., Cerebral blood volume maps of gliomas: comparison with tumor grade and histologic findings., Radiology, vol.191, issue.1, pp.41-51, 1994.
DOI : 10.1148/radiology.191.1.8134596

T. Sugahara, Y. Korogi, S. Tomiguchi, Y. Shigematsu, I. Ikushima et al., Postther? apeutic intraaxial brain tumor: the value of perfusion-sensitive contrast-enhanced MR imaging for differentiating tumor recurrence from nonneoplastic contrast-en? hancing tissue, AJNR Am J Neuroradiol, vol.21, issue.5, pp.901-910, 2000.

J. Folkman, New perspectives in clinical oncology from angiogenesis research, European Journal of Cancer, vol.32, issue.14, pp.2534-2543, 1996.
DOI : 10.1016/S0959-8049(96)00423-6

A. Zama, M. Tamura, and H. Inoue, Three-dimensional observations on microvascular growth in rat glioma using a vascular casting method, Journal of Cancer Research and Clinical Oncology, vol.171, issue.5, pp.396-402, 1991.
DOI : 10.1007/BF01612757

J. Folkman, The role of angiogenesis in tumor growth, Semin Cancer Biol, vol.3, issue.2, pp.65-71, 1992.

S. Abdulrauf, K. Edvardsen, K. Ho, X. Yang, J. Rock et al., Vascular endothelial growth factor expression and vascular density as prognostic markers of survival in patients with low-grade astrocytoma, Journal of Neurosurgery, vol.88, issue.3, pp.513-533, 1998.
DOI : 10.3171/jns.1998.88.3.0513

M. Assimakopoulou, G. Sotiropoulou-bonikou, T. Maraziotis, N. Papadakis, and I. Varakis, Microvessel density in brain tumors, Anticancer Res, vol.17, issue.6D, pp.4747-53, 1997.

S. Brem, R. Cotran, and J. Folkman, Tumor angiogenesis: a quantitative method for histo? logic grading, J Natl Cancer Inst Feb, vol.48, issue.2, pp.347-56, 1972.

S. Leon, R. Folkerth, and P. Black, Microvessel density is a prognostic indicator for pa? tients with astroglial brain tumors. Cancer, pp.362-72, 1996.

T. Revesz, F. Scaravilli, L. Coutinho, H. Cockburn, P. Sacares et al., Reliability of histological diagnosis including grading in gliomas biopsied by image-guided stereotactic technique, Brain, vol.116, issue.4, pp.781-93, 1993.
DOI : 10.1093/brain/116.4.781

W. Pardridge, D. Triguero, J. Yang, and P. Cancilla, Comparison of in vitro and in vivo models of drug transcytosis through the blood-brain barrier, J Pharmacol Exp Ther, vol.253, issue.2, pp.884-91, 1990.

H. Duvernoy, S. Delon, and J. Vannson, The vascularization of the human cerebellar cortex, Brain Research Bulletin, vol.11, issue.4, pp.419-80, 1983.
DOI : 10.1016/0361-9230(83)90116-8

P. Herscovitch and M. Raichle, What is the correct value for the brain--blood partition coefficient for water? J Cereb Blood Flow Metab, pp.65-74, 1985.

J. Taylor and W. Reddick, Evolution from empirical dynamic contrast-enhanced mag? netic resonance imaging to pharmacokinetic MRI, Adv Drug Deliv Rev Mar, vol.1541, issue.1, pp.91-110, 2000.

M. Maeda, J. Maley, D. Crosby, J. Quets, M. Zhu et al., Application of contrast agents in the evaluation of stroke: Conventional MR and echo-planar MR imaging, Journal of Magnetic Resonance Imaging, vol.189, issue.1, pp.23-31, 1997.
DOI : 10.1002/jmri.1880070105

B. Rosen, MR studies of perfusion in the brain. Current Practice in, 1992.

J. Rother, F. Guckel, W. Neff, A. Schwartz, and M. Hennerici, Assessment of Regional Cerebral Blood Volume in Acute Human Stroke by Use of Single-Slice Dynamic Susceptibility Contrast-Enhanced Magnetic Resonance Imaging, Stroke, vol.27, issue.6, pp.1088-93, 1996.
DOI : 10.1161/01.STR.27.6.1088

K. Broom, D. Anthony, A. Blamire, S. Waters, P. Styles et al., MRI Reveals That Early Changes in Cerebral Blood Volume Precede Blood???Brain Barrier Breakdown and Overt Pathology in MS-like Lesions in Rat Brain, Journal of Cerebral Blood Flow & Metabolism, vol.14, issue.2, pp.204-220, 2005.
DOI : 10.1093/brain/awh007

N. Sibson, A. Blamire, V. Perry, J. Gauldie, P. Styles et al., TNF-alpha reduces cerebral blood volume and disrupts tissue homeostasis via an endothelin- and TNFR2-dependent pathway, Brain, vol.125, issue.11, pp.2446-59, 2002.
DOI : 10.1093/brain/awf256

S. Looareesuwan, P. Wilairatana, S. Krishna, B. Kendall, S. Vannaphan et al., Magnetic resonance imaging of the brain in patients with cerebral malaria. Clin In? fect Dis, pp.300-309, 1995.

G. Harris, R. Lewis, A. Satlin, C. English, T. Scott et al., Dy? namic susceptibility contrast MRI of regional cerebral blood volume in Alzheimer's disease, Am J Psychiatry, vol.153, issue.5, pp.721-725, 1996.

G. Harris, R. Lewis, A. Satlin, C. English, T. Scott et al., Dy? namic susceptibility contrast MR imaging of regional cerebral blood volume in Alz? heimer disease: a promising alternative to nuclear medicine, AJNR Am J Neuroradiol, vol.19, issue.9, pp.1727-1759, 1998.

L. Maas, G. Harris, A. Satlin, C. English, R. Lewis et al., Regional cerebral blood volume measured by dynamic susceptibility contrast MR imaging in alzheimer's disease: A principal components analysis, Journal of Magnetic Resonance Imaging, vol.2, issue.1, pp.215-224, 1997.
DOI : 10.1002/jmri.1880070133

T. Ernst, L. Chang, M. Witt, H. Aronow, M. Cornford et al., Cerebral toxoplasmosis and lymphoma in AIDS: perfusion MR imaging experience in 13 patients., Radiology, vol.208, issue.3, pp.663-672, 1998.
DOI : 10.1148/radiology.208.3.9722843

I. Tracey, L. Hamberg, A. Guimaraes, G. Hunter, I. Chang et al., Increased cerebral blood volume in HIV-positive patients detected by functional MRI, Neurology, vol.50, issue.6, pp.1821-1827, 1998.
DOI : 10.1212/WNL.50.6.1821

M. Garnett, A. Blamire, R. Corkill, B. Rajagopalan, J. Young et al., Abnormal Cerebral Blood Volume in Regions of Contused and Normal Appearing Brain Following Traumatic Brain Injury Using Perfusion Magnetic Resonance Imaging, Journal of Neurotrauma, vol.18, issue.6, pp.585-93, 2001.
DOI : 10.1089/089771501750291828

S. Cha, S. Lu, G. Johnson, and E. Knopp, Dynamic susceptibility contrast MR imaging: Correlation of signal intensity changes with cerebral blood volume measurements, Journal of Magnetic Resonance Imaging, vol.14, issue.2, pp.114-123, 2000.
DOI : 10.1002/(SICI)1522-2586(200002)11:2<114::AID-JMRI6>3.0.CO;2-S

B. Dean, C. Lee, J. Kirsch, V. Runge, R. Dempsey et al., Cerebral hemo? dynamics and cerebral blood volume: MR assessment using gadolinium contrast agents and T1-weighted Turbo-FLASH imaging, AJNR Am J Neuroradiol, vol.13, issue.1, pp.39-48, 1992.

A. Villringer, B. Rosen, J. Belliveau, J. Ackerman, R. Lauffer et al., Dynamic imaging with lanthanide chelates in normal brain: Contrast due to magnetic susceptibility effects, Magnetic Resonance in Medicine, vol.7, issue.2, pp.164-74, 1988.
DOI : 10.1002/mrm.1910060205

V. Kiselev, On the theoretical basis of perfusion measurements by dynamic susceptibility contrast MRI, Magnetic Resonance in Medicine, vol.44, issue.6, pp.1113-1135, 2001.
DOI : 10.1002/mrm.1307

H. Thompson, J. Starmer, C. Whalen, R. Mcintosh, and H. , Indicator Transit Time Considered as a Gamma Variate, Circulation Research, vol.14, issue.6, pp.502-517, 1964.
DOI : 10.1161/01.RES.14.6.502

P. Meier and K. Zierler, On the theory of the indicator-dilution method for measurement of blood flow and volume, J Appl Physiol, vol.6, issue.12, pp.731-775, 1954.

F. Calamante, D. Gadian, and A. Connelly, Delay and dispersion effects in dynamic sus? ceptibility contrast MRI: simulations using singular value decomposition. Magn Re? son Med, pp.466-73, 2000.

L. Ostergaard, R. Weisskoff, D. Chesler, C. Gyldensted, and B. Rosen, High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part I: Mathematical approach and statistical analysis, Magnetic Resonance in Medicine, vol.20, issue.5, pp.715-740, 1996.
DOI : 10.1002/mrm.1910360510

F. Calamante, D. Gadian, and A. Connelly, Quantification of Perfusion Using Bolus Tracking Magnetic Resonance Imaging in Stroke: Assumptions, Limitations, and Potential Implications for Clinical Use, Stroke, vol.33, issue.4, pp.1146-51, 2002.
DOI : 10.1161/01.STR.0000014208.05597.33

J. Perthen, F. Calamante, D. Gadian, and A. Connelly, Is quantification of bolus tracking MRI reliable without deconvolution? Magn Reson Med, pp.61-68, 2002.

T. Hacklander, M. Hofer, J. Reichenbach, K. Rascher, G. Furst et al., Cerebral Blood Volume Maps with Dynamic Contrast-Enhanced T1-Weighted FLASH Imaging: Normal Values and Preliminary Clinical Results, Journal of Computer Assisted Tomography, vol.20, issue.4, pp.532-541, 1996.
DOI : 10.1097/00004728-199607000-00006

G. Parker, J. Suckling, S. Tanner, A. Padhani, P. Revell et al., Probing tumor microvascularity by measurement, analysis and display of contrast agent uptake kinetics, Journal of Magnetic Resonance Imaging, vol.29, issue.3, pp.564-74, 1997.
DOI : 10.1002/jmri.1880070318

F. Flickinger, J. Allison, R. Sherry, and J. Wright, Differentiation of benign from malignant breast masses by time-intensity evaluation of contrast enhanced MRI, Magnetic Resonance Imaging, vol.11, issue.5, pp.617-637, 1993.
DOI : 10.1016/0730-725X(93)90002-U

P. Tofts, G. Brix, D. Buckley, J. Evelhoch, E. Henderson et al., Estimat? ing kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a dif? fusable tracer: standardized quantities and symbols, J Magn Reson Imaging, 1999.

P. Tofts and A. Kermode, Measurement of the blood-brain barrier permeability and leakage space using dynamic MR imaging. 1. Fundamental concepts, Magnetic Resonance in Medicine, vol.113, issue.2, pp.357-67, 1991.
DOI : 10.1002/mrm.1910170208

H. Daldrup, D. Shames, W. Husseini, M. Wendland, Y. Okuhata et al., Quantification of the extraction fraction for gadopentetate across breast cancer capillaries, Magnetic Resonance in Medicine, vol.28, issue.4, pp.537-580, 1998.
DOI : 10.1002/mrm.1910400406

H. Larsson, M. Stubgaard, J. Frederiksen, M. Jensen, O. Henriksen et al., Quantitation of blood-brain barrier defect by magnetic resonance imaging and gadolinium-DTPA in patients with multiple sclerosis and brain tumors, Magnetic Resonance in Medicine, vol.5, issue.1, pp.117-148, 1990.
DOI : 10.1002/mrm.1910160111

G. Brix, W. Semmler, R. Port, L. Schad, G. Layer et al., Pharmacokinetic Parameters in CNS Gd-DTPA Enhanced MR Imaging, Journal of Computer Assisted Tomography, vol.15, issue.4, pp.621-629, 1991.
DOI : 10.1097/00004728-199107000-00018

J. Boxerman, L. Hamberg, B. Rosen, and R. Weisskoff, Mr contrast due to intravascular magnetic susceptibility perturbations, Magnetic Resonance in Medicine, vol.34, issue.4, pp.555-66, 1995.
DOI : 10.1002/mrm.1910340412

B. Rosen, J. Belliveau, J. Vevea, and T. Brady, Perfusion imaging with NMR contrast agents, Magnetic Resonance in Medicine, vol.8, issue.2, pp.249-65, 1990.
DOI : 10.1002/mrm.1910140211

K. Kuppusamy, W. Lin, G. Cizek, and E. Haacke, In vivo regional cerebral blood volume: quantitative assessment with 3D T1-weighted pre- and postcontrast MR imaging., Radiology, vol.201, issue.1, pp.106-118, 1996.
DOI : 10.1148/radiology.201.1.8816529

W. Lin, R. Paczynski, K. Kuppusamy, C. Hsu, and E. Haacke, Quantitative measurements of regional cerebral blood volume using MRI in rats: Effects of arterial carbon dioxide tension and mannitol, Magnetic Resonance in Medicine, vol.59, issue.3, pp.420-428, 1997.
DOI : 10.1002/mrm.1910380311

L. Duc, G. Peoc-'h, M. Remy, C. Charpy, O. Muller et al., Use of T(2)- weighted susceptibility contrast MRI for mapping the blood volume in the gliomabearing rat brain, Magn Reson Med, vol.42, issue.4, pp.754-61, 1999.

C. Schwarzbauer, J. Syha, and A. Haase, Quantification of regional blood volumes by rapidT1 mapping, Magnetic Resonance in Medicine, vol.714, issue.5, pp.709-721, 1993.
DOI : 10.1002/mrm.1910290521

J. Payen, E. Briot, I. Tropres, C. Julien-dolbec, O. Montigon et al., Regional cerebral blood volume response to hypocapnia using susceptibility contrast MRI, NMR in Biomedicine, vol.80, issue.7, pp.384-91, 2000.
DOI : 10.1002/1099-1492(200011)13:7<384::AID-NBM655>3.0.CO;2-V

I. Tropres, L. Lamalle, M. Peoc-'h, R. Farion, Y. Usson et al., In vivo assessment of tumoral angiogenesis, Magnetic Resonance in Medicine, vol.88, issue.Suppl, pp.533-574, 2004.
DOI : 10.1002/mrm.20017

URL : https://hal.archives-ouvertes.fr/hal-00192515

K. Turetschek, E. Floyd, T. Helbich, T. Roberts, D. Shames et al., MRI assessment of microvascular characteristics in experimental breast tumors using a new blood pool contrast agent (MS-325) with correlations to histopathology, Journal of Magnetic Resonance Imaging, vol.324, issue.3, pp.237-279, 2001.
DOI : 10.1002/jmri.1179

D. Bereczki, L. Wei, T. Otsuka, V. Acuff, K. Pettigrew et al., Hypoxia Increases Velocity of Blood Flow through Parenchymal Microvascular Systems in Rat Brain, Journal of Cerebral Blood Flow & Metabolism, vol.12, issue.3, pp.475-86, 1993.
DOI : 10.1161/01.RES.66.2.271

J. Cremer and M. Seville, Regional Brain Blood Flow, Blood Volume, and Haematocrit Values in the Adult Rat, Journal of Cerebral Blood Flow & Metabolism, vol.36, issue.2, pp.254-260, 1983.
DOI : 10.1038/jcbfm.1983.35

D. Yablonskiy and E. Haacke, Theory of NMR signal behavior in magnetically inhomogeneous tissues: The static dephasing regime, Magnetic Resonance in Medicine, vol.7, issue.6, pp.749-63, 1994.
DOI : 10.1002/mrm.1910320610

J. Dennie, J. Mandeville, J. Boxerman, S. Packard, B. Rosen et al., NMR imaging of changes in vascular morphology due to tumor angiogenesis, Magnetic Resonance in Medicine, vol.48, issue.6, pp.793-802, 1998.
DOI : 10.1002/mrm.1910400602

H. Lu, X. Golay, J. Pekar, V. Zijl, and P. , Functional magnetic resonance imaging based on changes in vascular space occupancy, Magnetic Resonance in Medicine, vol.5, issue.2, pp.263-74, 2003.
DOI : 10.1002/mrm.10519

H. Lu, M. Law, G. Johnson, Y. Ge, P. Van-zijl et al., Novel approach to the measurement of absolute cerebral blood volume using vascular-space-occupancy magnetic resonance imaging, Magnetic Resonance in Medicine, vol.23, issue.6, pp.1403-1414, 2005.
DOI : 10.1002/mrm.20705

A. Perles-barbacaru and H. Lahrech, A new Magnetic Resonance Imaging method for mapping the cerebral blood volume fraction: the rapid steady-state T1 method. J Cer? eb Blood Flow Metab, pp.618-649, 2007.
URL : https://hal.archives-ouvertes.fr/inserm-00381751

A. Haase, F. Snapshot, and . Mri, Snapshot flash mri. applications to t1, t2, and chemical-shift imaging, Magnetic Resonance in Medicine, vol.42, issue.1, pp.77-89, 1990.
DOI : 10.1002/mrm.1910130109

H. Larsson, M. Stubgaard, L. Sondergaard, and O. Henriksen, In vivo quantification of the unidirectional influx constant for Gd-DTPA diffusion across the myocardial capillaries with MR imaging, Journal of Magnetic Resonance Imaging, vol.13, issue.3, pp.433-473, 1994.
DOI : 10.1002/jmri.1880040332

A. Jivan, M. Horsfield, A. Moody, and G. Cherryman, DynamicT1Measurement Using Snapshot-FLASH MRI, Journal of Magnetic Resonance, vol.127, issue.1, pp.65-72, 1997.
DOI : 10.1006/jmre.1997.1177

E. Fonchy, H. Lahrech, A. Francois-joubert, R. Dupeyre, S. Benderbous et al., A new gadolinium-based contrast agent for magnetic resonance imaging of brain tumors: Kinetic study on a C6 rat glioma model, Journal of Magnetic Resonance Imaging, vol.8, issue.2, pp.97-105, 2001.
DOI : 10.1002/jmri.1158

A. Perles-barbacaru, F. Berger, and H. Lahrech, magnetic resonance imaging for cerebral blood volume mapping in mice: Lengthened measurement time window with intraperitoneal Gd-DOTA injection, Magnetic Resonance in Medicine, vol.25, issue.Pt 1, pp.1451-1457, 2013.
DOI : 10.1002/mrm.24365

URL : https://hal.archives-ouvertes.fr/inserm-00726955

J. Payen, A. Vath, B. Koenigsberg, V. Bourlier, and M. Decorps, Regional cerebral plasma volume response to carbon dioxide using magnetic resonance imaging. Anesthesiolo? gy, pp.984-92, 1998.

T. Perles-barbacaru, D. Procissi, A. Demyanenko, and R. Jacobs, Quantitative pharma? cologic MRI in mice, NMR Biomed. 2012, vol.25, issue.4, pp.498-505

R. Shockley and J. Lamanna, Determination of rat cerebral cortical blood volume changes by capillary mean transit time analysis during hypoxia, hypercapnia and hyperventilation, Brain Research, vol.454, issue.1-2, pp.170-178, 1988.
DOI : 10.1016/0006-8993(88)90816-5

M. Beaumont, B. Lemasson, R. Farion, C. Segebarth, C. Remy et al., Characteriza? tion of tumor angiogenesis in rat brain using iron-based vessel size index MRI in Quantitative Mapping of Angiogenesis by Magnetic Resonance Imaging http

C. Bremer, M. Mustafa, A. Bogdanov, . Jr, V. Ntziachristos et al., Steady-State Blood Volume Measurements in Experimental Tumors with Different Angiogenic Burdens???A Study in Mice, Radiology, vol.226, issue.1, pp.214-234, 2003.
DOI : 10.1148/radiol.2261012140

C. Julien, J. Payen, I. Tropres, R. Farion, E. Grillon et al., Assessment of vascular reactivity in rat brain glioma by measuring regional blood volume during graded hypoxic hypoxia, British Journal of Cancer, vol.117, issue.2, pp.374-80, 2004.
DOI : 10.1002/1522-2594(200103)45:3<397::AID-MRM1052>3.3.CO;2-V

S. Valable, D. Eddi, J. Constans, J. Guillamo, M. Bernaudin et al., MRI assessment of hemodynamic effects of angiopoietin-2 overexpression in a brain tumor model, Neuro-Oncology, vol.11, issue.5, pp.488-502, 2009.
DOI : 10.1215/15228517-2008-117

A. Perles-barbacaru, L. Lamalle, E. Barbier, C. Segebarth, and H. Lahrech, Rapid Steady State T 1 method for cerebral blood volume fraction mapping using SINEREM as contrast agent and a three dimensional projection reconstruction acquisition mode th Annual Scientific Meeting, International Society for Magnetic Resonance in Medicine, p.16, 2008.

A. Gadelle and J. Defaye, Selective Halogenation at Primary Positions of Cyclomaltooligosaccharides and a Synthesis of Per-3,6-anhydro Cyclomaltooligosaccharides, Angewandte Chemie International Edition in English, vol.30, issue.1, pp.78-80, 1991.
DOI : 10.1002/anie.199100781

H. Lahrech, A. Perles-barbacaru, S. Aous, L. Bas, J. Debouzy et al., Cerebral Blood Volume Quantification in a C6 Tumor Model Using Gadolinium per (3,6-Anhydro) ??-Cyclodextrin as a New Magnetic Resonance Imaging Preclinical Contrast Agent, Journal of Cerebral Blood Flow & Metabolism, vol.8, issue.5, pp.1017-1046, 2008.
DOI : 10.1002/mrm.1910360511

URL : https://hal.archives-ouvertes.fr/inserm-00381358

C. Labadie, J. Lee, G. Vetek, C. Springer, and J. , Relaxographic Imaging, Journal of Magnetic Resonance, Series B, vol.105, issue.2, pp.99-112, 1994.
DOI : 10.1006/jmrb.1994.1109

G. Moran and F. Prato, Modeling (1H) exchange: an estimate of the error introduced in MRI by assuming the fast exchange limit in bolus tracking, Magn Reson Med, 2004.

T. Adair, M. Wells, J. Hang, and J. Montani, A stereological method for estimating length density of the arterial vascular system, Am J Physiol, vol.266, pp.1434-1442, 1994.

M. Todd, J. Weeks, and D. Warner, Cerebral blood flow, blood volume, and brain tis? sue hematocrit during isovolemic hemodilution with hetastarch in rats, Am J Physi? ol, vol.263, issue.1 2, pp.75-82, 1992.

M. Todd, J. Weeks, and D. Warner, The Influence of Intravascular Volume Expansion on Cerebral Blood Flow and Blood Volume in Normal Rats, Anesthesiology, vol.78, issue.5, pp.945-53, 1993.
DOI : 10.1097/00000542-199305000-00020

M. Todd and J. Weeks, Comparative Effects of Propofol, Pentobarbital, and Isoflurane on Cerebral Blood Flow and Blood Volume, Journal of Neurosurgical Anesthesiology, vol.8, issue.4, pp.296-303, 1996.
DOI : 10.1097/00008506-199610000-00007

D. Bereczki, L. Wei, V. Acuff, K. Gruber, A. Tajima et al., Technique-depend? ent variations in cerebral microvessel blood volumes and hematocrits in the rat, J Appl Physiol, vol.73, issue.3, pp.918-942, 1992.

W. Lin, A. Celik, R. Paczynski, C. Hsu, and W. Powers, Quantitative Magnetic Resonance Imaging in Experimental Hypercapnia: Improvement in the Relation Between Changes in Brain R2* and the Oxygen Saturation of Venous Blood After Correction for Changes in Cerebral Blood Volume, Journal of Cerebral Blood Flow & Metabolism, vol.32, issue.8, pp.853-62, 1999.
DOI : 10.1097/00004647-199908000-00004

J. Dunn, M. Roche, R. Springett, M. Abajian, J. Merlis et al., Monitoring angiogenesis in brain using steady-state quantification of ?R2 with MION infusion, Magnetic Resonance in Medicine, vol.59, issue.1, pp.55-61, 2004.
DOI : 10.1002/mrm.10660

C. Schwarzbauer, S. Morrissey, R. Deichmann, C. Hillenbrand, J. Syha et al., Quantitative magnetic resonance imaging of capillary water permeability and regional blood volume with an intravascular MR contrast agent, Magnetic Resonance in Medicine, vol.4, issue.5, pp.769-77, 1997.
DOI : 10.1002/mrm.1910370521

C. Julien-dolbec, I. Tropres, O. Montigon, H. Reutenauer, A. Ziegler et al., Regional response of cerebral blood volume to graded hypoxic hypoxia in rat brain, British Journal of Anaesthesia, vol.89, issue.2
DOI : 10.1093/bja/aef182

I. Tropres, S. Grimault, A. Vaeth, E. Grillon, C. Julien et al., Vessel size imaging, Magnetic Resonance in Medicine, vol.29, issue.3, pp.397-408, 2001.
DOI : 10.1002/1522-2594(200103)45:3<397::AID-MRM1052>3.0.CO;2-3

A. Pathak, K. Schmainda, B. Ward, J. Linderman, K. Rebro et al., MR-derived cerebral blood volume maps: Issues regarding histological validation and assessment of tumor angiogenesis, Magnetic Resonance in Medicine, vol.58, issue.4, pp.735-782, 2001.
DOI : 10.1002/mrm.1252

J. Adam, H. Elleaume, L. Duc, G. Corde, S. Charvet et al., Absolute Cerebral Blood Volume and Blood Flow Measurements Based on Synchrotron Radiation Quantitative Computed Tomography, Journal of Cerebral Blood Flow & Metabolism, vol.23, issue.4, pp.499-512, 2003.
DOI : 10.1097/01.WCB.0000050063.57184.3C

P. Verant, R. Serduc, B. Van-der-sanden, C. Remy, and J. Vial, A Direct Method for Measuring Mouse Capillary Cortical Blood Volume Using Multiphoton Laser Scanning Microscopy, Journal of Cerebral Blood Flow & Metabolism, vol.36, issue.5, pp.1072-81, 2007.
DOI : 10.1371/journal.pbio.0040022

URL : https://hal.archives-ouvertes.fr/inserm-00381768