Accuracy of spectral Doppler flow and tissue velocity measurements in ultrasound systems

2004 ◽  
Vol 30 (1) ◽  
pp. 127-132 ◽  
Author(s):  
Andrew Walker ◽  
Eva Olsson ◽  
Bengt Wranne ◽  
Ivar Ringqvist ◽  
Per Ask
Keyword(s):  
Velocity Measurements ◽  
Doppler Flow ◽  
Tissue Velocity ◽  
Spectral Doppler

Validity of Doppler Measurements of Anterior Cerebral Artery Blood Flow Velocity: Correlation with Brain Blood Flow in Piglets

PEDIATRICS ◽  
1983 ◽  
Vol 72 (4) ◽  
pp. 526-531
Author(s):  
Nancy B. Hansen ◽  
Barbara S. Stonestreet ◽  
Ted S. Rosenkrantz ◽  
William Oh
Keyword(s):  
Blood Flow ◽  
Cerebral Blood Flow ◽  
Flow Velocity ◽  
Blood Flow Velocity ◽  
Continuous Wave ◽  
Anterior Cerebral Artery ◽  
Brain Blood Flow ◽  
Velocity Measurements ◽  
Doppler Flow ◽  
Continuous Wave Doppler

Continuous wave Doppler ultrasonography through the anterior fontanel has recently been used to assess changes in cerebral blood flow in human neonates. There has been controversy concerning whether measurements of Doppler blood flow velocity indeed correlate with brain blood flow. An in vivo correlation was performed between brain blood flow as measured by the microsphere method and Doppler flow velocity measurements of the cerebral arteries via an artificial fontanel in young piglets. The peak systolic velocity (r = .76, P < .001), end diastolic velocity (r = .72, P < .001) and area under the velocity curve (r = .86, P<.001) all showed significant positive correlations with brain blood flow. The pulsatility index did not correlate with brain blood flow. Although continuous wave Doppler flow velocity measurements of the anterior cerebral artery cannot quantitatively assess cerebral blood flow, this methodology can be used to correlate changes in cerebral blood flow and provide a meaningful trend analysis following physiologic or pharmacologic perturbation of the cerebral circulation.

scholarly journals Towards a new method for cardiac tissue velocity measurements using MRI, comparison with echocardiography

2014 ◽  
Vol 16 (S1) ◽  
Author(s):  
Christophe Meyer ◽  
Pierre-André Vuissoz ◽  
Jacques Felblinger ◽  
Laurent Bonnemains
Keyword(s):  
Cardiac Tissue ◽  
New Method ◽  
Velocity Measurements ◽  
Tissue Velocity

Intracoronary Doppler flow velocity measurements in two patients with solitary coronary ostium

1996 ◽  
Vol 7 (10) ◽  
pp. 761-766 ◽  
Author(s):  
Matthias C. Schmidt ◽  
Heinrich G. Klues ◽  
Jürgen vom Dahl ◽  
Thomas Brenn ◽  
Werner Hügel ◽  
...  
Keyword(s):  
Flow Velocity ◽  
Coronary Ostium ◽  
Velocity Measurements ◽  
Doppler Flow ◽  
Intracoronary Doppler

DOPPLER VS. SPINNER PLT SENSING FOR HYDROCARBON VELOCITY ESTIMATE BY DEEP-LEARNING APPROACH

2021 ◽  
Author(s):  
Klemens Katterbauer ◽  
◽  
Alberto Marsala ◽  
Virginie Schoepf ◽  
Linda Abbassi ◽  
...  
Keyword(s):  
Deep Learning ◽  
Flow Velocity ◽  
Oil And Gas ◽  
Surface Flow ◽  
Sound Waves ◽  
Velocity Measurements ◽  
Data Set ◽  
Flowing Fluid ◽  
Flow Meters ◽  
Doppler Flow

Logging hydrocarbon production potential of wells has been at the forefront of enhancing oil and gas exploration and maximize productivity from oil and gas reservoirs. A major challenge is accurate downhole fluid phases flow velocity measurements in production logging (PLT) due to the criticality of mechanical spinner-based sensor devices. Ultrasonic Doppler-based sensors are more robust and deployable either in wireline or logging while drilling (LWD) conditions; however, due to the different sensing physics, the measurement results may vary. Ultrasonic Doppler flow meters utilize the Doppler effect that is a change in frequency of the sound waves that are reflected on a moving target. A common example is the change in pitch when a vehicle sounding a horn approaches and recedes from an observer. The frequency shift is in direct proportion of the relative velocity of the fluid with respect to the emitter-receiver and allows to infer the speed of the flowing fluid. Doppler flow meters offer many advantages over mechanical spinners such as the ability to measure without requiring calibration passes, the absence of mechanical moving parts, the sensors robustness to shocks and hits, easy installation and minimal affection by changes in temperature, density and viscosity of the fluid thus capability to work even in highly contaminated conditions such as tar, asphaltene deposits on equipment. Despite being widely used in surface flow metering, ultrasonic Doppler sensor applications to downhole environment have been so far very limited. We present in this work an innovative deep learning framework to estimate spinner phase velocities from Doppler based sensor velocities. Tests of the framework on a benchmark data set displayed strong estimation results, in particular outlining the ability to utilize Doppler-based sensors for downhole phase velocity measurements and allows the comparison of the estimates with previously recorded spinner velocity measurements. This allows for the real-time automated interpretative framework implementation and flow velocity estimations either in conventional wireline production logging technologies and potentially also in LWD conditions, when the well is flowing in underbalanced conditions.

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