Model-based image processing of transmitral Doppler velocity profiles: automated determination of E-wave data set start point

Andrew F. Hall, Sandor J. Kovacs

Research output: Contribution to journalConference article

2 Scopus citations

Abstract

We have previously reported a model-based image processing method for quantification of transmitral Doppler velocity profiles (DVP), for the quantitative assessment of left ventricular diastolic function. For a given image, the process of fitting the model to the data has been shown to be sensitive to the choice of the data set to be modeled. We analyzed Doppler E-waves (early, rapid filling phase of diastole) having high acceleration and deceleration rates which are particularly sensitive to the E-wave data set start position. Examination of the acceleration portion of the time-averaged maximum velocity envelope (MVE) of the clinical DVP showed a change-of-sign in the second derivative of the MVE (an inflection point) not present in the parameterized diastolic filling (PDF) formalism used to model the E-wave. The inflection point defines a consistent choice for the E-wave data set start position. The existence of a local minimum in the estimated standard deviation of the model parameters as a function of the E-wave data set start position validates the use of the inflection point as the data set start position.

Original languageEnglish
Pages (from-to)601-602
Number of pages2
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume17
Issue number1
StatePublished - Dec 1 1995
Externally publishedYes
EventProceedings of the 1995 IEEE Engineering in Medicine and Biology 17th Annual Conference and 21st Canadian Medical and Biological Engineering Conference. Part 2 (of 2) - Montreal, Can
Duration: Sep 20 1995Sep 23 1995

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