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Showing 1 to 4 of 4 for “"phase contrast magnetic resonance imaging"”.

  1. A Novel Method to Assess Pulse Wave Velocity using Single Velocity Encoding in Phase Contrast Imaging

    … of pulse wave velocity (PWV) using conventional phase contrast magnetic resonance imaging (PC-MRI) is recognized as a standard technique to assess arterial stiffness by measuring the arrival times of blood velocity waveforms. Conventional PC-MRI requires the acquisition of two sets of complex …

    wfu Repository record for A Novel Method to Assess Pulse Wave Velocity using Single Velocity Encoding in Phase Contrast Imaging (opens in a new tab)

  2. Studies of Stented Arteries and Left Ventricular Diastolic Dysfunction Using Experimental and Clinical Analysis with Data Augmentation

    … Ventricular Diastolic Dysfunction (LVDD) using phase contrast magnetic resonance imaging (pcMRI). Using this technique, ten patients with and without LVDD were scanned and a 2D portrait of blood flow through their heart was obtained. To augment this data, pressure fields were calculated from the …

    vt Repository record for Studies of Stented Arteries and Left Ventricular Diastolic Dysfunction Using Experimental and Clinical Analysis with Data Augmentation (opens in a new tab)

  3. Rapid Magnetic Resonance Imaging of Tissue Motion with Adaptive Velocity Sensitivity for Evaluating Cardiovascular Function

    … spin motion information can be encoded in the phase of a magnetic resonance imaging (MRI) signal led to the development of the so-called phase contrast MRI (PC-MRI) method. Despite the well-recognized benefits of PC-MRI, clinical adoption has lagged because these techniques suffer from …

    houston Repository record for Rapid Magnetic Resonance Imaging of Tissue Motion with Adaptive Velocity Sensitivity for Evaluating Cardiovascular Function (opens in a new tab)

  4. Inverse problems in fluid dynamics for magnetic resonance velocimetry

    … of velocity fields from noisy and sparse magnetic resonance velocimetry signals. The method learns the most probable fluid dynamics model that fits the data by solving a Bayesian inverse Navier-Stokes boundary value problem. This jointly reconstructs and segments the velocity field, and at …

    cambridge Repository record for Inverse problems in fluid dynamics for magnetic resonance velocimetry (opens in a new tab)