Monitoring of atrial ablation using cyclic variation of integrated backscatter

2020 ◽  
Vol 148 (4) ◽  
pp. 2774-2775
Author(s):  
Scott Anjewierden ◽  
Oussama M. Wazni ◽  
D. G. Vince ◽  
Mohamed Kanj ◽  
Walid Saliba ◽  
...  
Keyword(s):  
Cyclic Variation ◽  
Integrated Backscatter ◽  
Atrial Ablation

Cyclic Variation of Integrated Backscatter: Dependence of Time Delay on the Echocardiographic View Used and the Myocardial Segment Analyzed

2000 ◽  
Vol 13 (1) ◽  
pp. 0009-0017 ◽  
Author(s):  
Ann E. Finch-Johnston ◽  
Hiie M. Gussak ◽  
Joel M. Mobley ◽  
Mark R. Holland ◽  
Olivera R. Petrovic ◽  
...  
Keyword(s):  
Time Delay ◽  
Myocardial Segment ◽  
Cyclic Variation ◽  
Integrated Backscatter

CYCLIC VARIATION OF MYOCARDIAL INTEGRATED BACKSCATTER SIGNAL IN HYPERTENSIVE CARDIOPATHY

2000 ◽  
Vol 18 ◽  
pp. S70-S71
Author(s):  
V. Di Bello ◽  
R. Pedrinelli ◽  
A. Bertini ◽  
D. Giorgi ◽  
A. Cioppi ◽  
...  
Keyword(s):  
Cyclic Variation ◽  
Backscatter Signal ◽  
Integrated Backscatter

Is Cyclic Variation of Myocardial Ultrasound Integrated Backscatter Present Also After Contrast?

1999 ◽  
Vol 19 (3) ◽  
pp. 200-200 ◽  
Author(s):  
Janerot-Sjöberg ◽  
N. von Schmalensee ◽  
Schreckenberger ◽  
Voigt ◽  
Wilkenshoff ◽  
...  
Keyword(s):  
Cyclic Variation ◽  
Integrated Backscatter

scholarly journals Influence of data processing on cyclic variation of integrated backscatter and wall thickness in stunned porcine myocardium

1997 ◽  
Vol 23 (3) ◽  
pp. 405-414 ◽  
Author(s):  
Anton F.W. van der Steen ◽  
Hans Rijsterborgh ◽  
Charles T. Lancée ◽  
Frits Mastik ◽  
Rob Krams ◽  
...  
Keyword(s):  
Data Processing ◽  
Wall Thickness ◽  
Cyclic Variation ◽  
Integrated Backscatter

Automated Determination of the Magnitude and Time Delay (“Phase”) of the Cardiac Cycle Dependent Variation of Myocardial Ultrasonic Integrated Backscatter

1989 ◽  
Vol 11 (4) ◽  
pp. 245-259 ◽  
Author(s):  
G. A. Mohr ◽  
Zvi Vered ◽  
Benico Barzilai ◽  
Julio E. Perez ◽  
Burton E. Sobel ◽  
...  
Keyword(s):  
Time Delay ◽  
Tissue Characterization ◽  
Cardiac Cycle ◽  
Quantitative Description ◽  
Automated Analysis ◽  
Cyclic Variation ◽  
Integrated Backscatter ◽  
Automated Method ◽  
Cycle Dependent

An algorithm for quantitative description of cardiac cycle dependent variation of integrated backscatter (cyclic variation) has been developed and is shown to be suitable for analysis of nonsinusoidal data typical of ultrasonic tissue characterization measurements from myocardium in vivo. The algorithm produces estimates of the magnitude of variation and of the time delay relative to the the electrocardiographically recorded QRS-complex. To validate the algorithm, 246 integrated backscatter measurements were analyzed both manually and by the automated method. The magnitude and time delay estimates from the two methods correlated closely. With a separate set of data, the algorithm produced reasonable descriptions of the cyclic variation for 89 of 101 integrated backscatter measurements. Only modest computational power is required for effective implementation of this algorithm, facilitating inclusion of online automated analysis capabilities in quantitative ultrasonic tissue characterization systems.

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