he blood flow velocity profile is important for diagnosis of cardiovascular diseases, which are associated with abnormal blood flow in arteries due to hemodynamic changes in patients. 1 The blood flow velocity gradient at the wall edge has been used to estimate the vascular wall shear stress, which has a key role in vascular physiology as well as the pathophysiologic mechanisms of vascular diseases. 2 Based on Poiseuille theory, the blood flow velocity profile is parabolic, and high-velocity gradients occur at the vascular wall in steady-state and fully developed laminar flow in normal conduit vessels. 3 In areas with vascular tortuosity, branching, and the presence of vascular plaque, the blood flow velocity profile is asymmetric. 1 Ultrasound imaging has been the preferred noninvasive technique for measuring blood flow velocity profiles.Multigate Doppler ultrasound measurement has been applied to estimate the blood flow velocity in vessels. 4 Using multigate Doppler measurements, the blood flow velocity profile and blood flow velocity gradient at the wall edge were determined from longitudinal (along the blood flow directions) views of blood vessels. [5][6][7][8] Dae Woo Park, PhD, Grant H. Kruger, PhD, Jonathan M. Rubin, MD, PhD, James Hamilton, PhD, Paul Gottschalk, PhD, Robert E. Dodde, PhD, Albert J. Shih, PhD, William F. Weitzel, MD Received January 1, 2013, This study investigated the use of ultrasound speckle decorrelation-and correlationbased lateral speckle-tracking methods for transverse and longitudinal blood velocity profile measurement, respectively. By studying the blood velocity gradient at the vessel wall, vascular wall shear stress, which is important in vascular physiology as well as the pathophysiologic mechanisms of vascular diseases, can be obtained. Decorrelationbased blood velocity profile measurement transverse to the flow direction is a novel approach, which provides advantages for vascular wall shear stress measurement over longitudinal blood velocity measurement methods. Blood flow velocity profiles are obtained from measurements of frame-to-frame decorrelation. In this research, both decorrelation and lateral speckle-tracking flow estimation methods were compared with Poiseuille theory over physiologic flows ranging from 50 to 1000 mm/s. The decorrelation flow velocity measurement method demonstrated more accurate prediction of the flow velocity gradient at the wall edge than the correlation-based lateral speckle-tracking method. The novelty of this study is that speckle decorrelation-based flow velocity measurements determine the blood velocity across a vessel. In addition, speckle decorrelation-based flow velocity measurements have higher axial spatial resolution than Doppler ultrasound measurements to enable more accurate measurement of blood velocity near a vessel wall and determine the physiologically important wall shear.