Date of download: 6/24/2016 Copyright © The American College of Cardiology. All rights reserved. From: Improved Measurement of Pressure Gradients in Aortic.

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J Am Coll Cardiol Img. 2012;5(11): doi: /j.jcmg Figure Legend:
Phase-encoded velocity mapping
In vitro evaluation of multiple arterial stenoses using three-dimensional power Doppler angiography  Zhenyu Guo, PhD, Louis-Gilles Durand, PhD, Louis.
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Date of download: 6/24/2016 Copyright © The American College of Cardiology. All rights reserved. From: Improved Measurement of Pressure Gradients in Aortic Coarctation by Magnetic Resonance Imaging J Am Coll Cardiol. 1996;28(7): doi: /S (96) Pressure gradient in stenosis and diagram of coarctation flow model. Upper diagram shows the stenosis model, and the lower graph illustrates pressure as a position in the stenosis. Along the stenosis in the direction of flow, a small pressure loss due to frictional viscous losses occurs (this is the reason for the slight downward slope on the first portion of the curve in the graph). Near the throat of the stenosis, velocity increases, and pressure decreases. Distal to the stenosis, several possible scenarios may occur, depending on the severity of the stenosis. If the stenosis is mild, significant (even complete) pressure recovery may occur. For these mild stenoses, the loss coefficient K is 4.0. The flow model was based on a series of biplane angiograms of aortic coarctations. A Doppler velocity probe was used to measure the throat velocity, and pressure transducers were used to measure the pressure gradient across the stenosis. Figure Legend:

Date of download: 6/24/2016 Copyright © The American College of Cardiology. All rights reserved. From: Improved Measurement of Pressure Gradients in Aortic Coarctation by Magnetic Resonance Imaging J Am Coll Cardiol. 1996;28(7): doi: /S (96) Magnetic resonance phase velocity map through the throat of a coarctation. The velocity image was planned through the throat of the coarctation on the transverse spin echo image (A). In the phase velocity map (B), image intensity is directly proportional to velocity. The bright signal in the ascending aorta indicates rapid flow toward the head; the dark signal in the descending aorta indicates rapid flow toward the feet. Arrows indicate the location of the coarctation where a local increase in velocity is seen. Figure Legend:

Date of download: 6/24/2016 Copyright © The American College of Cardiology. All rights reserved. From: Improved Measurement of Pressure Gradients in Aortic Coarctation by Magnetic Resonance Imaging J Am Coll Cardiol. 1996;28(7): doi: /S (96) Three-dimensional reconstruction of an aorta with a coarctation. A 3D image of the aorta was created for all the patients. The 3D image was created from the set of multiple transverse images obtained with the gated inflow technique. The aorta was segmented out in each individual image by a pediatric cardiologist (W.J.P.). The 3D image of the aorta was then created from the segmented images by an image processing program (ISG Allegro, Toronto, Ontario, Canada). Figure Legend:

Date of download: 6/24/2016 Copyright © The American College of Cardiology. All rights reserved. From: Improved Measurement of Pressure Gradients in Aortic Coarctation by Magnetic Resonance Imaging J Am Coll Cardiol. 1996;28(7): doi: /S (96) Loss coefficient plotted versus flow rate for all models. The value of the loss coefficient varied with flow rate at low flow values. However, for flow rates >1.5 liters/min, the loss coefficient was constant. For models with severity less than ~65%, the loss coefficient was 4.0. Figure Legend:

Date of download: 6/24/2016 Copyright © The American College of Cardiology. All rights reserved. From: Improved Measurement of Pressure Gradients in Aortic Coarctation by Magnetic Resonance Imaging J Am Coll Cardiol. 1996;28(7): doi: /S (96) Comparison of pressure gradients in steady (circles) and pulsatile flow (crosses). In the 80% model, experiments were conducted for pulsatile flow and for steady flow at the peak flow rate in pulsatile flow. Peak pressure gradient in the pulsatile flow and the pressure gradient in steady flow were correlated. The pressure gradient measurement correlated well between the steady and pulsatile flow (R = 0.98). Figure Legend:

Date of download: 6/24/2016 Copyright © The American College of Cardiology. All rights reserved. From: Improved Measurement of Pressure Gradients in Aortic Coarctation by Magnetic Resonance Imaging J Am Coll Cardiol. 1996;28(7): doi: /S (96) Correlation of the MRI and Doppler ultrasound pressure gradient estimates. In the 22 patients with available Doppler ultrasound estimates of pressure gradient, the MRI pressure gradients calculated with a loss coefficient of 4.0 are plotted against the ultrasound estimates. Correlation between the two methods was excellent (R = 0.91). In 19 of the 22 patients, the MRI and ultrasound estimates were within 10%, indicating that MRI using a loss coefficient of 4.0 provides pressure gradient estimates comparable to ultrasound. However, using severity-based loss coefficients, MRI results in improved estimates of pressure gradient. Figure Legend:

Date of download: 6/24/2016 Copyright © The American College of Cardiology. All rights reserved. From: Improved Measurement of Pressure Gradients in Aortic Coarctation by Magnetic Resonance Imaging J Am Coll Cardiol. 1996;28(7): doi: /S (96) Pressure gradient values from patients who had all three examinations (MRI, Doppler ultrasound, catheterization). Pressure gradient was determined by 1) MRI using severity-based loss coefficients; 2) Doppler ultrasound; and 3) cardiac catheterization. The values of pressure gradient calculated with MRI using the severity-based loss coefficient were less than those estimated with Doppler ultrasound (20 vs. 34, p < 0.05). The MRI pressure gradient estimates made with the severity-based loss coefficients agree well with catheterization values (20 vs. 18, no significant difference, p = 0.05). Hence, use of the severity-based loss coefficients will result in a more accurate estimate of pressure gradient. Figure Legend: