Optically quantified cerebral blood flow

In vivo imaging allows detailed studies of cerebral blood flow and brain metabolism in both normal and pathological states. Since the 1980s, several methods to measure tissue perfusion in the brain have been introduced. Magnetic resonance imaging (MRI) techniques such as blood oxygen level dependent MRI (BOLD MRI) (Sorensen et al, 1995) and arterial spin labeling (Buxton and Frank 1997) as well as micro-positron emission tomography (Heiss et al, 1994) have enabled noninvasive chronic imaging of both regional blood flow changes and absolute perfusion in both humans and animal models. These methods, however, suffer from poor spatial resolution and are mainly useful when studying regional blood flow in the brain. Intrinsic optical imaging (Ts’o et al, 1990) enables higher spatial resolution mapping of changes in blood volume. Laser Doppler spectroscopy (Eyre et al, 1988) enables measurement of relative changes in blood flow speeds averaged over ~1-mm2 cortical areas, while laser speckle contrast imaging (Boas and Dunn, 2010) enables these relative blood flow changes to be imaged with a spatial resolution of <100 μm. None of these optical techniques, however, can accurately resolve changes in flow in individual microvessels or determine the absolute perfusion of cortical tissue. When absolute speed measurement of individual vessels is required, two-photon excited fluorescence (2PEF) microscopy has been the tool of choice (Schaffer et al, 2006). It is, however, limited to measurement of flow speed in vessels that are oriented parallel to the imaging plane, and measurements need to be made one vessel at a time, which is a time-consuming process. Currently lacking is an imaging technique that enables absolute blood flow speed measurements in multiple individual vessels at once. In this issue of JCBFM, Srinivasan et al (2011) introduce the use of Doppler optical coherence tomography (DOCT) (Chen et al, 1997) to fill this gap.