Abstract
Summary In this study we offer a unique approach to achieve simultaneous evaluation of tissue and blood flow velocities from a single “low-VENC” image dataset (i.e.: prescribed for measurement of tissue velocities). A novel phase unwrapping algorithm is tested for this purpose. Background Doppler echocardiography-based techniques are routinely used to assess the heart and ventricular function by measuring blood flow and cardiac tissue velocity profiles. While these measures may similarly be obtained by phase contrast MRI, each require separate acquisitions and subsequent analysis to accommodate for vastly different velocities and therefore velocity encoding (VENC) values.
Highlights
Doppler echocardiography-based techniques are routinely used to assess the heart and ventricular function by measuring blood flow and cardiac tissue velocity profiles. While these measures may be obtained by phase contrast MRI, each require separate acquisitions and subsequent analysis to accommodate for vastly different velocities and velocity encoding (VENC) values
The profiles of blood-flow in the LV and RV (VENC = 20cm/s) are close to that acquired with 75 cm/s (Fig. 2a)
The results of mid-ventricula regional wall motion (Fig 2b) are similar to those reported by other groups
Summary
Simultaneous measurement of blood-flow velocity and regional wall motion with phase unwrapping. Summary In this study we offer a unique approach to achieve simultaneous evaluation of tissue and blood flow velocities from a single “low-VENC” image dataset (i.e.: prescribed for measurement of tissue velocities). A novel phase unwrapping algorithm is tested for this purpose
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