Two-dimensional fourier filtration of acoustic quantification echocardiographic images: Improved reproducibility and accuracy of automated measurements of left ventricular performance

Shalabh Chandra, Mario J. Garcia, Annitta Morehead, James D. Thomas*

*Corresponding author for this work

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

To determine the accuracy of Fourier filtration in removing the high-frequency component of noise from acoustic quantification (AQ) echocardiographic images, we processed 800 parasternal short-axis images obtained from 10 study subjects. M-mode tracings were also obtained and used as gold standard for correlating the results from raw AQ and Fourier-filtered images. Left ventricular short-axis diameters measured from the raw AQ and Fourier-filtered data were compared with the M-mode diameters (r = 0.91, p < 0.001 for raw AQ; and r = 0.96, p < 0.001, for Fourier filtered images). Fractional shortening showed better correlation between Fourier-filtered images and M-mode (r -0.79, p < 0.03) versus raw AQ and M-mode (r = 0.33, p = 0.46). Beat-to-beat reproducibility was also found to be better for fractional area change (r = 0.82, p = 0.01 versus r = 0.66, p = 0.07), peak area filling rate (r = 0.87, p = 0.004 versus r = 0.62, p = 0.1), and peak area emptying rate (r = 0.99, p < 0.0001 versus r = 0.19, p < 0.7) for Fourier filtered versus raw AQ. Our results indicate that Fourier filtration of AQ data results in more accurate renresenfation of the true endocardial borders.

Original languageEnglish (US)
Pages (from-to)310-319
Number of pages10
JournalJournal of the American Society of Echocardiography
Volume10
Issue number4
DOIs
StatePublished - Jan 1 1997

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Cardiology and Cardiovascular Medicine

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