Diagnostic Value of Parametric Imaging of Left Ventricular Wall Motion From Contrast-Enhanced Echocardiograms in Patients With Poor Acoustic Windows

Kachenoura, Nadjia; Mor‐Avi, Victor; Frouin, F.; Delouche, A.; Polonsky, Tamar S.; Damore, S.; Diebold, B.; Lang, Roberto M.

doi:10.1016/j.echo.2008.12.004

Cited by 7 publications

(7 citation statements)

References 29 publications

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“…We have therefore chosen to use the mathematical model "Fourier transform" [5] to transform the spatial representation into a spectral one. Through the Fourier analysis, we decomposed each signal into a sum of sine waves that could be written in the following form [7]: F(t) = a0 + a1 sin (wt+ 1) + a2 sin (2wt + 2 ) +…+ an sin (nwt+ n) (3) Where a 0 : the DC component of the signal, a 1 , a 2 ..., a n are the amplitudes of a series of sinusoidal components with multiple frequencies (f = n* f 0 ).…”

Section: Description Of the Methodsmentioning

confidence: 99%

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Parametric images for the assessment of cardiac kinetics by magnetic resonance imaging (MRI)

Ameur

Khlifa

Kraiem

2014

International Image Processing, Applications and Systems Conference

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The evaluation of Cardiac Magnetic Resonance (CMR) imaging exam is mainly based on the visual aspect. This visual evaluation depends on the level of expertise of the radiologist and it is characterized by variability within and between observers. The aim of this work is to propose a new method based on a mathematical model, "Fourier Transform" which calculates an amplitude parametric image. This image, calculated from the Cine MR images, allows the localization and quantification of abnormalities related to difference in contraction and their extent. The suggested amplitude image is likely to assist in the diagnosis through reducing the time taken by the radiologist to specify the abnormal contraction and by improving the accuracy of the examination. After testing this approach on patients (healthy and pathological), we have proven a good concordance between the results obtained by the parametric image and those collected from the routine examination.

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Section: Description Of the Methodsmentioning

confidence: 99%

“…However, this analysis is subjective and depends on several factors such as the severity of the abnormality and the level of expertise of the operator [1], [2], [3]. It seems then necessary to have precise digital tools able to provide a diagnostic aid on cardiovascular diseases.…”

Section: Introductionmentioning

confidence: 99%

Parametric images for the assessment of cardiac kinetics by magnetic resonance imaging (MRI)

Ameur

Khlifa

Kraiem

2014

International Image Processing, Applications and Systems Conference

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“…The usefulness of these images has been shown in previous studies while interpreted visually alone (Diebold et al 2005, Ruiz Dominguez et al 2005 or in combination with black and white cine loops (Caiani et al 2002, Kachenoura et al 2009. Besides, regional quantitative indices derived from these parametric images have been proposed to overcome the subjective nature of their visual reading (Hansen et al 2001, Mor-Avi et al 1997, Kachenoura et al 2009, and they have been successfully used to detect RWM abnormalities. However, most of these studies proposed a classification of RWM as normal or abnormal while a four-point scale scoring is usually used in clinical practice.…”

Section: Introductionmentioning

confidence: 99%

“…These still-frames resulted either from techniques based on the analysis of signal intensity variations in individual pixels during one cardiac cycle (Kuecherer et al 1995, Caiani et al 2002, Ruiz Dominguez et al 2005 or from endocardial border tracking (Lang et al 1996). The usefulness of these images has been shown in previous studies while interpreted visually alone (Diebold et al 2005, Ruiz Dominguez et al 2005 or in combination with black and white cine loops (Caiani et al 2002, Kachenoura et al 2009. Besides, regional quantitative indices derived from these parametric images have been proposed to overcome the subjective nature of their visual reading (Hansen et al 2001, Mor-Avi et al 1997, Kachenoura et al 2009, and they have been successfully used to detect RWM abnormalities.…”

Section: Introductionmentioning

confidence: 99%

“…This process operates on the parametric images of amplitude and mean transition times, generated by the parametric analysis of the main motion (PAMM) method (Ruiz Dominguez et al 2005). These parametric images and the associated reading rules which allow their visual interpretation were previously described (Ruiz Dominguez et al 2005, Kachenoura et al 2009. The present study was designed to establish the value of our parametric images in characterizing RWM in patients with IHD and to propose quantitative indices for objective scoring of RWM.…”

Section: Introductionmentioning

confidence: 99%

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An automated four-point scale scoring of segmental wall motion in echocardiography using quantified parametric images

et al. 2010

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The aim of this paper is to develop an automated method which operates on echocardiographic dynamic loops for classifying the left ventricular regional wall motion (RWM) in a four-point scale. A non-selected group of 37 patients (2 and 4 chamber views) was studied. Each view was segmented according to the standardized segmentation using three manually positioned anatomical landmarks (the apex and the angles of the mitral annulus). The segmented data were analyzed by two independent experienced echocardiographists and the consensual RWM scores were used as a reference for comparisons. A fast and automatic parametric imaging method was used to compute and display as static color-coded parametric images both temporal and motion information contained in left ventricular dynamic echocardiograms. The amplitude and time parametric images were provided to a cardiologist for visual analysis of RWM and used for RWM quantification. A cross-validation method was applied to the segmental quantitative indices for classifying RWM in a four-point scale. A total of 518 segments were analyzed. Comparison between visual interpretation of parametric images and the reference reading resulted in an absolute agreement (Aa) of 66% and a relative agreement (Ra) of 96% and kappa (κ) coefficient of 0.61. Comparison of the automated RWM scoring against the same reference provided Aa = 64%, Ra = 96% and κ = 0.64 on the validation subset. Finally, linear regression analysis between the global quantitative index and global reference scores as well as ejection fraction resulted in correlations of 0.85 and 0.79. A new automated four-point scale scoring of RWM was developed and tested in a non-selected database. Its comparison against a consensual visual reading of dynamic echocardiograms showed its ability to classify RWM abnormalities.

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Tensor Decomposition of a Dynamic Sequence of Images into Simple Elements

Frouin¹,

Pellot‐Barakat²

2015

Multi‐Modality Cardiac Imaging

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Diagnostic Value of Parametric Imaging of Left Ventricular Wall Motion From Contrast-Enhanced Echocardiograms in Patients With Poor Acoustic Windows

Cited by 7 publications

References 29 publications

Parametric images for the assessment of cardiac kinetics by magnetic resonance imaging (MRI)

Parametric images for the assessment of cardiac kinetics by magnetic resonance imaging (MRI)

An automated four-point scale scoring of segmental wall motion in echocardiography using quantified parametric images

Tensor Decomposition of a Dynamic Sequence of Images into Simple Elements

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