Model-based image processing of transmitral Doppler velocity profiles: toward automation

Andrew F. Hall, Sandor J. Kovacs

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations

Abstract

Transmitral Doppler ultrasound has not yet fulfilled its potential as a clinical tool for the noninvasive quantitation of left ventricular diastolic function. In the effort to achieve this goal we have developed a model-based image processing method for quantitative characterization of transmitral Doppler velocity profiles (DVP). The method fits a kinematic model for diastolic filling to the single-valued velocity contour extracted from the DVP image. Improvement of the method includes complete automation of the overall process. Two aspects of automation are examined: data set selection and beat averaging. An algorithm for E-wave (early diastolic filling interval) data set selection and three methods for averaging are discussed.

Original languageEnglish
Pages (from-to)1541-1544
Number of pages4
JournalProceedings of the IEEE Ultrasonics Symposium
Volume2
StatePublished - Dec 1 1995
EventProceedings of the 1995 IEEE Ultrasonics Symposium. Part 1 (of 2) - Seattle, WA, USA
Duration: Nov 7 1995Nov 10 1995

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