Key result
A 256-element 2-D sparse spiral array estimates blood-flow volume with ~9% error versus reference sensors.
Why the study?
Non-invasive ultrasound methods for blood-flow volume measurement require validation for accurate, real-time, and portable cardiovascular assessment.
Does a 256-channel research scanner with a 2-D sparse spiral array accurately estimate blood-flow volume compared to a reference flow sensor in flow phantoms?
Does a 256-channel research scanner with a 2-D sparse spiral array accurately estimate blood-flow volume compared to a reference flow sensor in flow phantoms?
A streamlined 256-channel ultrasound system with a 2-D sparse array provides accurate and precise real-time blood-flow volume measurements in phantom models.
Answers are grounded in this paper and cite their sources.
Supports sparse-array ultrasound development for flow quantification; leaves open clinical translation pending in vivo validation.
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.
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Giangrossi et al. (2025) studied Cardiovascular dysfunctions. 256-channel research scanner paired with a 256-element 2-D sparse spiral array vs. Reference flow sensor was evaluated on Blood-flow volume (BFV) measurement accuracy and precision. Blood-flow volume estimation using a 256-element 2-D sparse spiral array provided accurate measurements with a mean percentage error under 9.4% and standard deviation under 2.8% compared to a reference sensor.
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