Automated determination of the magnitude and time delay (“Phase”) of the cardiac cycle dependent variation of myocardial ultrasonic integrated backscatter

G. A. Mohr, Zvi Vered, Benico Barzilai, Julio E. Perez, Burton E. Sobel, J. G. Miller*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)245-259
Number of pages15
JournalUltrasonic Imaging
Volume11
Issue number4
DOIs
StatePublished - Oct 1989
Externally publishedYes

Funding

FundersFunder number
National Heart, Lung, and Blood InstituteP50HL017646
National Heart, Lung, and Blood Institute

    Keywords

    • Automated analysis algorithm
    • cyclic variation
    • integrated backscatter
    • myocardium
    • tissue characterization

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