Automated assessment of noninvasive filling pressure using color doppler M-mode echocardography

N. L. Greenberg; M. S. Firstenberg; L. A. Cardon; J. Zuckerman; B. D. Levine; M. J. Garcia; J. D. Thomas

Automated assessment of noninvasive filling pressure using color doppler M-mode echocardography

N. L. Greenberg, M. S. Firstenberg, L. A. Cardon, J. Zuckerman, B. D. Levine, M. J. Garcia, J. D. Thomas

Research output: Contribution to journal › Conference article › peer-review

Abstract

Assessment of left ventricular filling pressure usually requires invasive hemodynamic monitoring to follow the progression of disease or the response to therapy. Previous investigations have shown accurate estimation of wedge pressure using noninvasive Doppler information obtained from the ratio of the wave propagation slope from color M-mode (CMM) images and the peak early diastolic filling velocity from transmitral Doppler images. This study reports an automated algorithm that derives an estimate of wedge pressure based on the spatiotemporal velocity distribution available from digital CMM Doppler images of LV filling.

Original language	English (US)
Pages (from-to)	601-604
Number of pages	4
Journal	Computers in Cardiology
State	Published - 2001
Externally published	Yes
Event	Computer in Cardiology 2001 - Rotterdam, Netherlands Duration: Sep 23 2001 → Sep 26 2001

ASJC Scopus subject areas

Computer Science Applications
Cardiology and Cardiovascular Medicine

Cite this

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title = "Automated assessment of noninvasive filling pressure using color doppler M-mode echocardography",

abstract = "Assessment of left ventricular filling pressure usually requires invasive hemodynamic monitoring to follow the progression of disease or the response to therapy. Previous investigations have shown accurate estimation of wedge pressure using noninvasive Doppler information obtained from the ratio of the wave propagation slope from color M-mode (CMM) images and the peak early diastolic filling velocity from transmitral Doppler images. This study reports an automated algorithm that derives an estimate of wedge pressure based on the spatiotemporal velocity distribution available from digital CMM Doppler images of LV filling.",

author = "Greenberg, {N. L.} and Firstenberg, {M. S.} and Cardon, {L. A.} and J. Zuckerman and Levine, {B. D.} and Garcia, {M. J.} and Thomas, {J. D.}",

year = "2001",

language = "English (US)",

pages = "601--604",

journal = "Computers in Cardiology",

issn = "0276-6574",

publisher = "IEEE Computer Society",

note = "Computer in Cardiology 2001 ; Conference date: 23-09-2001 Through 26-09-2001",

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TY - JOUR

T1 - Automated assessment of noninvasive filling pressure using color doppler M-mode echocardography

AU - Greenberg, N. L.

AU - Firstenberg, M. S.

AU - Cardon, L. A.

AU - Zuckerman, J.

AU - Levine, B. D.

AU - Garcia, M. J.

AU - Thomas, J. D.

PY - 2001

Y1 - 2001

N2 - Assessment of left ventricular filling pressure usually requires invasive hemodynamic monitoring to follow the progression of disease or the response to therapy. Previous investigations have shown accurate estimation of wedge pressure using noninvasive Doppler information obtained from the ratio of the wave propagation slope from color M-mode (CMM) images and the peak early diastolic filling velocity from transmitral Doppler images. This study reports an automated algorithm that derives an estimate of wedge pressure based on the spatiotemporal velocity distribution available from digital CMM Doppler images of LV filling.

AB - Assessment of left ventricular filling pressure usually requires invasive hemodynamic monitoring to follow the progression of disease or the response to therapy. Previous investigations have shown accurate estimation of wedge pressure using noninvasive Doppler information obtained from the ratio of the wave propagation slope from color M-mode (CMM) images and the peak early diastolic filling velocity from transmitral Doppler images. This study reports an automated algorithm that derives an estimate of wedge pressure based on the spatiotemporal velocity distribution available from digital CMM Doppler images of LV filling.

UR - http://www.scopus.com/inward/record.url?scp=1542708277&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=1542708277&partnerID=8YFLogxK

M3 - Conference article

C2 - 14640103

AN - SCOPUS:1542708277

SN - 0276-6574

SP - 601

EP - 604

JO - Computers in Cardiology

JF - Computers in Cardiology

T2 - Computer in Cardiology 2001

Y2 - 23 September 2001 through 26 September 2001

ER -

Automated assessment of noninvasive filling pressure using color doppler M-mode echocardography

Abstract

ASJC Scopus subject areas

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