Automated mitral annular tracking: A novel method for evaluating mitral annular motion using two-dimensional echocardiography

Eto, Yoko; Yamada, Hirotoshi; Shin, Joon Han; Agler, Deborah A.; Tsujino, Hiroyuki; Qin, Jian Xin; Saracino, Giuseppe; Greenberg, Neil L.; Thomas, James D.; Shiota, Takahiro

doi:10.1016/j.echo.2004.11.001

Cited by 12 publications

(16 citation statements)

References 28 publications

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“…In addition, the motion of the MVA plane contributes significantly to the left ventricular volume change over the cardiac cycle and correlates well with LV ejection fraction (Eto et al 2005;Van Stralen et al 2005).…”

Section: Introductionmentioning

confidence: 88%

“…Analysis of the mitral valve annulus (MVA) movement is useful in the evaluation of global and regional left ventricular (LV) function and is important for diagnosis of mitral annular diseases and LV disorders (Eto et al 2005;Pai et al 1991;Willenheimer et al 1999). In addition, the motion of the MVA plane contributes significantly to the left ventricular volume change over the cardiac cycle and correlates well with LV ejection fraction (Eto et al 2005;Van Stralen et al 2005).…”

Section: Introductionmentioning

confidence: 99%

“…Common methods for evaluating the mitral annular motion are M-mode echocardiography (Unser et al 1989;Willenheimer et al 1999), two-dimensional (2D) echocardiography (Behar et al 2004;DeCara et al 2005;Eto et al 2005), three-dimensional (3D) echocardiography (Flachskampf et al 2000) and Doppler tissue echocardiography (Rabben et al 2000). Unser et al (1989) performed one-dimensional (1D) dynamic programming (DP) on M-mode echocardiograms for border detection.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Automated Tracking of the Mitral Valve Annulus Motion in Apical Echocardiographic Images Using Multidimensional Dynamic Programming

Nevo

Stralen

Vossepoel

et al. 2007

Ultrasound in Medicine & Biology

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Section: Introductionmentioning

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Automated Tracking of the Mitral Valve Annulus Motion in Apical Echocardiographic Images Using Multidimensional Dynamic Programming

Nevo

Stralen

Vossepoel

et al. 2007

Ultrasound in Medicine & Biology

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“…The position of the left subendocardial basal point is then iteratively searched between frames using a blockmatching algorithm. [11] The MAPE trace is then calculated as the distance from the left subendocardial basal point to the subepicardial apex. The subepicardial apex is assumed to remain fixed along the clip.…”

Section: Methodsmentioning

confidence: 99%

“…The first approach is based on forward tissue tracking. [11] This method is useful for motion tracking in applications with relatively low levels of noise (e.g. for following objects from the air) but tends to drift away from the correct trace in echocardiograms.…”

Section: Introductionmentioning

confidence: 99%

A semiautomatic tracking algorithm for mitral annular plane excursion: A mode for cardiac function evaluation

Goldsztejn¹,

Avraham

Zurakhov

et al. 2017

JBEI

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Reduced long-axis deformation as derived from the temporal excursion of the mitral annular plane correlates well with left ventricle systolic and diastolic dysfunction. Since this parameter is barely compensated at the onset of ventricular dysfunction, it is proposed as an early marker of a dysfunction. The lack of a rapid, yet accurate tool for the evaluation of mitral annular plane excursion (MAPE) prevents this measurement from being used routinely in the clinic. Here, a semiautomatic tracking algorithm of the mitral annulus was developed. Describing the MAPE in clear geometrical terms together with state-of-the-art speckle tracking and speckle reduction algorithms, facilitated the development of such an algorithm. The performance of the algorithm was evaluated using a cohort of 48 apical views of subjects chosen randomly from a set of routine examinations done at Rambam Hospital. The curves obtained using the proposed algorithm were compared using a cross-correlation test with the standard global strain. The average cross-correlation coefficient obtained was 0.92, with standard deviation of 0.07.

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Left ventricle wall motion quantification from echocardiographic images by non-rigid image registration

et al. 2012

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Automated mitral annular tracking: A novel method for evaluating mitral annular motion using two-dimensional echocardiography

Cited by 12 publications

References 28 publications

Automated Tracking of the Mitral Valve Annulus Motion in Apical Echocardiographic Images Using Multidimensional Dynamic Programming

Automated Tracking of the Mitral Valve Annulus Motion in Apical Echocardiographic Images Using Multidimensional Dynamic Programming

A semiautomatic tracking algorithm for mitral annular plane excursion: A mode for cardiac function evaluation

Left ventricle wall motion quantification from echocardiographic images by non-rigid image registration

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