Objective: The assessment of blood-flow volume (BFV) is clinically relevant for the diagnosis and monitoring of cardiovascular dysfunctions and the prevention of subsequent secondary diseases. Non-invasive BFV measurement based on ultrasound methods are appealing for lower cost, real-time operation, and equipment portability. Recently, complex ultrasound research scanners with 1024 channels controlling the elements of a 2-D matrix array probe, have been demonstrated suitable for off-line accurate BFV estimates. In this work, a streamlined approach, using a 256-channel research scanner paired with a 256-element 2-D sparse spiral array, is proposed and validated. Methods: This setup allows for simultaneous scanning of the vessel's longitudinal and transverse sections through an interleaved transmission sequence. In real-time, the longitudinal scan is used to determine the flow direction, while the transverse scan captures both the dynamic cross-sectional area and the local velocities by high frame rate color flow mapping. Results: Flow phantom experiments under steady and pulsatile flow conditions were conducted to assess the performance by comparing the measurements with the outputs of a reference flow sensor. The proposed method provided accurate and precise BFV values for both flow conditions, with mean percentage error and standard deviation always lower than 9.4% and 2.8%, respectively. Furthermore, preliminary in vivo experiments have produced results consistent with those reported in the literature. Conclusion: The proposed method based on the use of a sparse array has permitted accurate and precise phantom BFV measurements and has been shown suitable for real-time arterial BFV measurements.

Wall shear rate (WSR), a key marker of vascular health, is useful for cardiovascular risk assessment. Traditionally, its non-invasive evaluation via ultrasound relies on longitudinal imaging of the artery, a method that can be restrictive for comprehensive hemodynamic monitoring. Here a bi-plane ultrasound method using a 2D sparse array for fast, cross-sectional WSR estimation is presented. The technique provides 12 simultaneous, angularly distributed WSR estimates per frame, overcoming limitations of conventional methods and avoiding the hardware complexity of full 3D imaging. Phantom experiments were conducted at different depths with good accuracy (bias<16%) and repeatability (<21%).