Boas D.A.Payne S.J.STEPHEN JOHN PAYNE2022-05-242022-05-242009https://www.scopus.com/inward/record.uri?eid=2-s2.0-70350432960&doi=10.1088%2f0967-3334%2f30%2f10%2fL01&partnerID=40&md5=5646f09e83cd0e15577a24333691b8cbhttps://scholars.lib.ntu.edu.tw/handle/123456789/611846The relationship between cerebral blood volume (CBV) and blood flow (CBF) has gained widespread interest because of its utility in using functional magnetic resonance imaging and optical imaging methods to estimate the cerebral metabolic rate of oxygen (CMRO2). A recent paper by Leung et al (2009 Physiol. Meas. 30 1-12) nicely presents measurements relating CBV to cerebral blood flow velocity (CBFV) as measured by near infrared spectroscopy and transcranial Doppler, respectively. They suggest that this relationship cannot be inverted to estimate CBF (or CBFV) from CBV, and that doing so to estimate CMRO2 is inappropriate. We argue that these data, and other related published data, do permit the estimation of CBF from CBV and thus enable CMRO2 to be estimated when only measures of CBV and deoxygenated hemoglobin are available. ? 2009 Institute of Physics and Engineering in Medicine.BloodBlood vesselsFlow velocityHemodynamicsInfrared devicesMetabolismNear infrared spectroscopyOxygenBlood flowBlood volumesCerebral blood flowCerebral blood flow velocitiesCerebral blood volumeCerebral metabolic rate of oxygenFunctional magnetic resonance imagingGrubb exponentMetabolic ratesTranscranial DopplerMagnetic resonance imagingoxygenarticlebrain blood flowbrain metabolismDoppler echographyfunctional magnetic resonance imaginghumannear infrared spectroscopynuclear magnetic resonance imagingpriority journal[SDGs]SDG3journal article10.1088/0967-3334/30/10/L012-s2.0-70350432960