Paper
29 March 2013 Non-invasive measurement of pressure gradients using ultrasound
Jacob Bjerring Olesen, Marie Sand Traberg, Michael Johannes Pihl, Jørgen Arendt Jensen
Author Affiliations +
Abstract
A non-invasive method for estimating 2-D pressure gradients from ultrasound vector velocity data is presented. The method relies on in-plane vector velocity elds acquired using the Transverse Oscillation method. The pressure gradients are estimated by applying the Navier-Stokes equations for isotropic uids to the estimated velocity elds. The velocity elds were measured for a steady ow on a carotid bifurcation phantom (Shelley Medical, Canada) with a 70% constriction on the internal branch. Scanning was performed with a BK8670 linear transducer (BK Medical, Denmark) connected to a BK Medical 2202 UltraView Pro Focus scanner. The results are validated through nite element simulations of the carotid ow model where the geometry is determined from MR images. This proof of concept study was conducted at nine ultrasound frames per second. Estimated pressure gradients along the longitudinal direction of the constriction varied from 0 kPa/m to 10 kPa/m with a normalized bias of -9.1% for the axial component and -7.9% for the lateral component. The relative standard deviation of the estimator, given in reference to the peak gradient, was 28.4% in the axial direction and 64.5% in the lateral direction. A study made across the constriction was also conducted. This yielded magnitudes from 0 kPa/m to 7 kPa/m with a normalized bias of -5.7% and 13.9% for the axial and lateral component, respectively. The relative standard deviations of this study were 45.2% and 83.2% in the axial and lateral direction, respectively.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jacob Bjerring Olesen, Marie Sand Traberg, Michael Johannes Pihl, and Jørgen Arendt Jensen "Non-invasive measurement of pressure gradients using ultrasound", Proc. SPIE 8675, Medical Imaging 2013: Ultrasonic Imaging, Tomography, and Therapy, 86750G (29 March 2013); https://doi.org/10.1117/12.2006732
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Ultrasonography

Magnetic resonance imaging

Data modeling

Scanners

Velocity measurements

Spatial resolution

Transducers

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