Literature DB >> 7886846

Automated method for characterization of diastolic transmitral Doppler velocity contours: late atrial filling.

A F Hall1, J A Aronovitz, S P Nudelman, S J Kovács.   

Abstract

We develop an automated method of characterizing the late atrial filling phase of diastole by fitting a kinematic model for diastolic filling to the clinical Doppler A-wave contour. The result is a set of model parameters which completely characterizes the contour. We have previously derived a parameterized diastolic filling (PDF) model, which predicts the time-dependent transmitral blood flow velocity obtained by Doppler echocardiography. An automated method to determine the PDF model parameters for early rapid filling from the clinical Doppler E-wave has also been developed and validated. The method consists of digitizing the acoustic Doppler waveform, recreating the Doppler velocity profile, extracting the maximum velocity envelope, and fitting the PDF model for early filling to the envelope. In the current work, we apply the same general approach for PDF parameter determination for the late atrial filling phase of diastole. To assess the presence and significance of near-degeneracies in the model parameter set, numerical experiments (consisting of fitting the model to a model-generated contour to which Gaussian noise was added) were performed. These revealed a two-dimensional degeneracy in four-dimensional parameter space which could be removed by using two kinematic simplifications: critical damping and resonant forcing. We show that these degeneracy-eliminating approximations do not limit the ability of the model to predict clinical A-wave contours.

Mesh:

Year:  1994        PMID: 7886846     DOI: 10.1016/0301-5629(94)90046-9

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  3 in total

1.  Quantification of global diastolic function by kinematic modeling-based analysis of transmitral flow via the parametrized diastolic filling formalism.

Authors:  Sina Mossahebi; Simeng Zhu; Howard Chen; Leonid Shmuylovich; Erina Ghosh; Sándor J Kovács
Journal:  J Vis Exp       Date:  2014-09-01       Impact factor: 1.355

2.  The diastolic function to cyclic variation of myocardial ultrasonic backscatter relation: the influence of parameterized diastolic filling (PDF) formalism determined chamber properties.

Authors:  Christopher W Lloyd; Leonid Shmuylovich; Mark R Holland; James G Miller; Sándor J Kovács
Journal:  Ultrasound Med Biol       Date:  2011-06-16       Impact factor: 2.998

3.  The kinematic filling efficiency index of the left ventricle: contrasting normal vs. diabetic physiology.

Authors:  Wei Zhang; Charles S Chung; Matt M Riordan; Yue Wu; Leonid Shmuylovich; Sándor J Kovács
Journal:  Ultrasound Med Biol       Date:  2007-05-03       Impact factor: 2.998

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.