TY - JOUR

T1 - Semi-automated analysis of color M-mode echocardiographic images for determining transmitral pressure gradients using a simplified Euler equation

AU - Firstenberg, Michael S.

AU - Greenberg, Neil L.

AU - Garcia, Mario J.

AU - Castro, Peter L.

AU - Prior, David L.

AU - Smedira, Nicholas G.

AU - Thomas, James D.

PY - 1999

Y1 - 1999

N2 - We hypothesize that a simplified version of the Euler equation (SEE) utilizing differences in velocity over a distance and time as obtained by Color Doppler M-mode (CMM) echocardiography can approximate actual peak transmitral pressure gradients (ΔPTM). Methods: In 14 patients undergoing open-heart surgery, ΔPTM was measured under various hemodynamic conditions using 2 high fidelity transducers, 5 cm apart. Transesophageal CMM images were simultaneously acquired and a customized image analysis application was used to abstract spatiotemporal velocity characteristics. Using both the SEE and a simplified Bernoulli equations, ΔPTM were determined and compared to the actual ΔPTM. Results: While the simplified Bernoulli equation resulted in a poor estimate (y = 0.075x+0.71, r = 0.45), the ΔPTM obtained using the SEE correlated strongly (y = 0.79x+0.48, r = 0.91) with the actual measurements. Conclusions: Semi-automated analysis of CMM images using a SEE can accurately estimate actual ΔPTM.

AB - We hypothesize that a simplified version of the Euler equation (SEE) utilizing differences in velocity over a distance and time as obtained by Color Doppler M-mode (CMM) echocardiography can approximate actual peak transmitral pressure gradients (ΔPTM). Methods: In 14 patients undergoing open-heart surgery, ΔPTM was measured under various hemodynamic conditions using 2 high fidelity transducers, 5 cm apart. Transesophageal CMM images were simultaneously acquired and a customized image analysis application was used to abstract spatiotemporal velocity characteristics. Using both the SEE and a simplified Bernoulli equations, ΔPTM were determined and compared to the actual ΔPTM. Results: While the simplified Bernoulli equation resulted in a poor estimate (y = 0.075x+0.71, r = 0.45), the ΔPTM obtained using the SEE correlated strongly (y = 0.79x+0.48, r = 0.91) with the actual measurements. Conclusions: Semi-automated analysis of CMM images using a SEE can accurately estimate actual ΔPTM.

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M3 - Conference article

C2 - 12795281

AN - SCOPUS:0033282574

SP - 181

EP - 184

JO - Computing in Cardiology

JF - Computing in Cardiology

SN - 2325-8861

T2 - The 26th Annual Meeting: Computers in Cardiology 1999

Y2 - 26 September 1999 through 29 September 1999

ER -