K. Ohene-frempong, S. J. Weiner, and L. A. Sleeper, Cerebrovascular accidents in sickle cell disease: rates and risk factors, Blood, vol.91, issue.1, pp.288-294, 1998.

S. T. Miller, E. A. Macklin, and C. H. Pegelow, Silent infarction as a risk factor for overt stroke in children with sickle cell anemia: A report from the Cooperative Study of Sickle Cell Disease, J Pediatr, vol.139, issue.3, pp.385-390, 2001.

M. R. Debaun, M. Gordon, and R. C. Mckinstry, Controlled trial of transfusions for silent cerebral infarcts in sickle cell anemia, N Engl J Med, vol.371, issue.8, pp.699-710, 2014.

A. Thompson, S. Sarnaik, and G. M. Woods, Silent cerebral infarcts occur despite regular blood transfusion therapy after first stroke in children with sickle cell disease, Blood, vol.117, issue.3, pp.772-780, 2011.

R. J. Adams, V. C. Mckie, and L. Hsu, Prevention of a first stroke by transfusions in children with sickle cell anemia and abnormal results on transcranial Doppler ultrasonography, N Engl J Med, vol.339, issue.1, pp.5-11, 1998.

F. Bernaudin, S. Verlhac, and C. Arnaud, Chronic, acute anemia and eICA stenosis are independent risk factors for silent cerebral infarcts in sickle cell anemia, Blood, vol.125, issue.10, pp.1653-1662, 2014.

A. A. Kassim, S. Pruthi, and M. Day, Silent cerebral infarcts and cerebral aneurysms are prevalent in adults with sickle cell anemia, Blood, vol.127, issue.16, pp.2038-2041, 2016.

C. Hoppe, Defining stroke risk in children with sickle cell anaemia, Br J Haematol, vol.128, issue.6, pp.751-766, 2005.

A. Balci, S. Karazincir, and Y. Beyoglu, Quantitative brain diffusiontensor MRI findings in patients with sickle cell disease, Am J Roentgenol, vol.198, issue.5, pp.1167-1174, 2012.

Y. Chai, J. Coloigner, and X. Qu, Tract specific analysis in patients with sickle cell disease, 11th International Symposium on Medical Information Processing and Analysis, vol.9681, p.968108, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01710727

S. Choi, A. M. Bush, and M. T. Borzage, Hemoglobin and mean platelet volume predicts diffuse T1-MRI white matter volume decrease in sickle cell disease patients, NeuroImage Clin, vol.15, issue.04, pp.239-246, 2017.

A. L. Ford, D. K. Ragan, and S. Fellah, Silent infarcts in sickle cell anemia occur in the borderzone region and are associated with low cerebral blood flow, Blood, vol.132, issue.16, pp.1714-1723, 2018.

K. P. Guilliams, M. E. Fields, and D. K. Ragan, Red cell exchange transfusions lower cerebral blood flow and oxygen extraction fraction in pediatric sickle cell anemia, Blood, vol.131, issue.9, pp.1012-1021, 2018.

Y. Chai, J. Coloigner, A. M. Bush, J. C. Wood, and N. Lepore, Regional cerebral blood flow measurement in patients with sickle cell disease using pseudo continuous arterial spin labeling, 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016.

A. M. Bush, M. T. Borzage, and S. Choi, Determinants of resting cerebral blood flow in sickle cell disease, Am J Hematol, vol.91, issue.9, pp.912-917, 2016.

R. J. Adams, K. I. Ataga, and H. Ballard, The management of sickle cell disease. Natl Inst Heal, 2002.

S. Smith, M. Jenkinson, and M. Woolrich, Advances in functional and structural MR image analysis and implementation as FSL, Neuroimage, vol.23, pp.208-219, 2004.

Y. Zhang, M. Brady, and S. Smith, Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm, IEEE Trans Med Imaging, vol.20, issue.1, pp.45-57, 2001.

J. F. Casella, A. A. King, and B. Barton, Design of the silent cerebral infarct transfusion (SIT) trial, Pediatr Hematol Oncol, vol.27, issue.2, pp.69-89, 2010.

C. Q. Vu and J. C. Wood, White matter hyperintensities segmentation and stereological bias correction, International Society for Magnetic Resonance in Medicine (ISMRM), vol.1, 2017.

B. Xu, Y. Chai, and C. M. Galarza, Orchestral fully convolutional networks for small lesion segmentation in brain MRI, Proceedings of the 2018 I.E. 15th International Symposium on Biomedical Imaging, pp.889-892, 2018.

P. A. Yushkevich, J. Piven, and H. C. Hazlett, User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability, Neuroimage, vol.31, issue.3, pp.1116-1128, 2006.

I. Asllani, A. Borogovac, and T. R. Brown, Regression algorithm correcting for partial volume effects in arterial spin labeling MRI, Magn Reson Med, vol.60, issue.6, pp.1362-1371, 2008.

H. M. Duvernoy, Arterial territories of the human brain, Neurology, vol.30, pp.99-110, 1999.

J. Wang, D. C. Alsop, and L. Li, Comparison of quantitative perfusion imaging using arterial spin labeling at 1.5 and 4.0 Tesla, Magn Reson Med, vol.48, issue.2, pp.242-254, 2002.

A. Bush, Y. Chai, and S. Y. Choi, Pseudo continuous arterial spin labeling quantification in anemic subjects with hyperemic cerebral blood flow, Magn Reson Imaging, vol.47, issue.2, pp.137-146, 2018.

Y. Chai, A. Bush, and J. Coloigner, An experimental investigation of labeling efficiency for pseudo-continuous arterial spin labeling, In: Proceedings -International Symposium on Biomedical Imaging, pp.1101-1104, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01710699

H. Lu, C. Clingman, X. Golay, and P. V. Zijl, What is the longitudinal relaxation time (T1) of blood at 3.0 Tesla ?, Blood, vol.11, issue.3, pp.21205-21205, 2003.

B. J. Macintosh, N. Filippini, M. A. Chappell, M. W. Woolrich, C. E. Mackay et al., Assessment of arterial arrival times derived from multiple inversion time pulsed arterial spin labeling MRI, Magn Reson Med, vol.63, issue.3, pp.641-647, 2010.

K. Wasserman and B. J. Whipp, Exercise physiology in health and disease, Am Rev Respir Dis, vol.112, pp.219-249, 1975.

K. K. Oguz, X. Golay, and F. B. Pizzini, Sickle cell disease: continuous arterial spin-labeling perfusion MR imaging in children, Radiology, vol.227, issue.2, pp.567-574, 2003.

X. W. Van-den-tweel, A. J. Nederveen, and C. Majoie, Cerebral blood flow measurement in children with sickle cell disease using continuous arterial spin labeling at 3.0-tesla MRI, Stroke, vol.40, issue.3, pp.795-800, 2009.

S. Herold, M. Brozovic, and J. Gibbs, Measurement of regional cerebral blood flow, blood volume and oxygen metabolism in patients with sickle cell disease using positron emission tomography, Stroke, vol.17, issue.4, pp.692-698, 1986.

Y. Numaguchi, J. S. Haller, and J. R. Humbert, Cerebral blood flow mapping using stable Xenon-enhanced CT in sickle cell cerebrovascular disease, Neuroradiology, vol.32, issue.4, pp.289-295, 1990.

I. Prohovnik, A. Hurlet-jensen, R. Adams, D. Vivo, D. Pavlakis et al., Hemodynamic etiology of elevated flow velocity and stroke in sicklecell disease, J Cereb Blood Flow Metab, vol.29, issue.4, pp.803-810, 2009.

M. Brown and J. Marshall, Regulation of cerebral blood flow in response to changes in blood viscosity, Lancet, vol.325, pp.604-609, 1985.

M. M. Brown and J. Marshall, Effect of plasma exchange on blood viscosity and cerebral blood flow, Br Med J, vol.284, issue.6331, pp.1733-1736, 1982.

L. S. Cahill, L. M. Gazdzinski, and A. K. Tsui, Functional and anatomical evidence of cerebral tissue hypoxia in young sickle cell anemia mice, J Cereb Blood Flow Metab, vol.37, issue.3, pp.994-1005, 2017.

G. Hare, A. Tsui, S. Ozawa, and A. Shander, Anaemia: Can we define haemoglobin thresholds for impaired oxygen homeostasis and suggest new strategies for treatment?, Best Pract Res Clin Anaesthesiol, vol.27, issue.1, pp.85-98, 2013.

W. W. Ni, T. Christen, J. Rosenberg, Z. Zun, M. E. Moseley et al., Imaging of cerebrovascular reserve and oxygenation in Moyamoya disease, J Cereb Blood Flow Metab, vol.37, issue.4, pp.1213-1222, 2017.

A. Kedar, W. E. Drane, D. Shaeffer, N. M. Adams, and C. , Measurement of cerebrovascular flow reserve in pediatric patients with sickle cell disease, Pediatr Blood Cancer, vol.46, issue.2, pp.234-238, 2006.

M. T. Borzage, A. M. Bush, and S. Choi, Predictors of cerebral blood flow in patients with and without anemia, J Appl Physiol, vol.120, pp.976-981, 2016.

T. Blinman and M. Maggard, Rational manipulation of oxygen delivery, J Surg Res, vol.92, issue.1, pp.120-141, 2000.

M. Moeini, X. Lu, and P. K. Avti, Compromised microvascular oxygen delivery increases brain tissue vulnerability with age, Sci Rep, vol.8, issue.1, pp.1-17, 2018.

M. R. Debaun, F. D. Armstrong, R. C. Mckinstry, R. E. Ware, E. Vichinsky et al., Silent cerebral infarcts : a review on a prevalent and progressive cause of neurological injury in sickle cell anemia, Blood, vol.119, issue.20, pp.4587-4597, 2012.

C. D. Reiter, X. Wang, and J. E. Tanus-santos, Cell-free hemoglobin limits nitric oxide bioavailability in sickle-cell disease, Nat Med, vol.8, issue.12, pp.1383-1389, 2002.

L. Belhassen, G. Pelle, and S. Sediame, Endothelial dysfunction in patients with sickle cell disease is related to selective impairment of shear stress-mediated vasodilation, Blood, vol.97, issue.6, pp.1584-1589, 2001.

R. P. Hebbel and B. E. Hedlund, Sickle hemoglobin oxygen affinity-shifting strategies have unequal cerebrovascular risks, Am J Hematol, vol.93, issue.3, pp.321-325, 2018.

A. M. Bush, T. D. Coates, and J. C. Wood, Diminished cerebral oxygen extraction and metabolic rate in sickle cell disease using T2 relaxation under spin tagging MRI, Magn Reson Med, vol.80, issue.1, pp.294-303, 2018.

A. Rebel, J. A. Ulatowski, H. Kwansa, E. Bucci, and R. C. Koehler, Cerebrovascular response to decreased hematocrit: effect of cell-free hemoglobin, plasma viscosity, and CO2, Am J Physiol Heart Circ Physiol, vol.285, issue.4, pp.1600-1608, 2003.

K. P. Guilliams, M. E. Fields, and D. K. Ragan, Large-vessel vasculopathy in children with sickle cell disease: a magnetic resonance imaging study of infarct topography and focal atrophy, Pediatr Neurol, vol.69, pp.49-57, 2017.

T. Baldeweg, A. M. Hogan, and D. E. Saunders, Detecting white matter injury in sickle cell disease using voxel-based morphometry, Ann Neurol, vol.59, issue.4, pp.662-672, 2006.

M. E. Fields, K. P. Guilliams, and D. K. Ragan, Regional oxygen extraction predicts border zone vulnerability to stroke in sickle cell disease, Neurology, vol.90, issue.13, 2018.

H. J. Mutsaerts, E. Richard, D. F. Heijtel, M. J. Van-osch, C. B. Majoie et al., Gray matter contamination in arterial spin labeling white matter perfusion measurements in patients with dementia, NeuroImage: Clin, vol.4, pp.139-144, 2014.

E. T. Petersen, I. Zimine, Y. Ho, and X. Golay, Non-invasive measurement of perfusion: A critical review of arterial spin labelling techniques, Br J Radiol, vol.79, issue.944, pp.688-701, 2006.

L. Vaclavu, V. Van-der-land, and D. Heijtel, In vivo T1 of blood measurements in children with sickle cell disease improve cerebral blood flow quantification from arterial spin-labeling MRI, Am J Neuroradiol, vol.37, issue.9, pp.1727-1732, 2016.

Y. Chai, A. M. Bush, and J. Coloigner,

, White matter has impaired resting oxygen delivery in sickle cell patients, Am J Hematol, vol.94, pp.467-474, 2019.