Interobserver Variability in Assessing Segmental Function can be Reduced by Combining Visual Analysis of CMR Cine Sequences with Corresponding Parametric Images of Myocardial Contraction

Redheuil, Alban; Kachenoura, Nadjia; Laporte, R.; Azarine, Arshid; Lyon, X.; Jolivet, Odile; Frouin, F.; Mousseaux, Élie

doi:10.1080/10976640701693626

Cited by 20 publications

(12 citation statements)

References 43 publications

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“…For example, the first harmonics of the discrete Fourier transform image [15][16][17][18] and the factor analysis-based method [19][20][21] resulted in parametric images of the amplitude or phase of wall motion. These parametric images were shown to aid in wall motion interpretation when used alone 19,20 or in combination with the dynamic images by both experienced 21 and inexperienced readers.…”

Section: Discussionmentioning

confidence: 99%

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

Kachenoura¹,

Mor‐Avi²,

Frouin³

et al. 2009

Journal of the American Society of Echocardiography

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Section: Discussionmentioning

confidence: 99%

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

Kachenoura¹,

Mor‐Avi²,

Frouin³

et al. 2009

Journal of the American Society of Echocardiography

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“…The poor reproducibility of such qualitative evaluations has led to the development of quantitative methods [1][2][3] for wall motion extent. The parametric analysis of main motion, first proposed in echocardiography [4] was adapted to cine short-axis MR images [5] and the estimation of regional parameters: mean times of contraction and radial endocardial velocities were then introduced.…”

Section: Introductionmentioning

confidence: 99%

Regional myocardial radial velocities estimation from cine MR images Study of a patient-related coefficient effect

Berbari

Chahine

2013

2013 2nd International Conference on Advances in Biomedical Engineering

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Assessment of left ventricular function is crucial forthe diagnosis of ischemic heart diseases. A previously developed method to estimate mean time of contraction and radial velocity from cine Cardiac Magnetic Resonance Images (CMRI) is applied on a data base of 45 subjects including 9 normal and 12 patients with heart failure with myocardial infarction, 12 patients with heart failure without myocardial infarction and 12 hypertrophic patients. A major limitation of this method is related to the radial velocity parameter that was poorly estimated. In this paper, an improvement of the estimate of this velocity parameter is presented by introducing a patient related coefficient. The introduced coefficient has shown great improvement of this parameter estimation as from 30% to 75 % for the hypertrophic patients, 41% to 73% for the heart failure without infarction, 49% to 84% for the heart failure with infarction and from 34% to 80% for normal subjects.

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“…To reduce the variability of visual wall motion analysis, quantitative postprocessing methods have been proposed on magnetic resonance images (MRI) (3)(4)(5)(6). A parametric imaging method taking into account both wall excursion and chronological features in wall motion (7) was adapted to short-axis SSFP cine MRI in order to extract the segmental mean transition times, and radial endocardial velocities directly from cine MR images (8).…”

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confidence: 99%

Automated estimation of regional mean transition times and radial velocities from cine magnetic resonance images: Evaluation in normal subjects

El-Berbari¹,

Kachenoura²,

Redheuil³

et al. 2009

Magnetic Resonance Imaging

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Purpose:To assess regional ventricular function via an accurate and automated definition of functional parameters. Materials and Methods:An automated method is proposed that estimates reliable regional normalized mean transition times (F mc ) and mean radial velocities (V m ) from cine images. This approach combines a quantitative parametric imaging method and an automated detection of the endocardial border, which is robust to the presence of papillary muscles and nonhomogeneities within the left ventricular cavity. Steadystate free-precession cine-magnetic resonance imaging (MRI) of 36 healthy subjects was analyzed.Results: The quality of the automated segmentation was assessed on a subgroup of 20 subjects by comparing the results with the manual contours traced by an expert. The comparison of functional parameters estimated consequently using the automated and the manual contours yielded (y ϭ 0.959x ϩ 0.016, R ϭ 0.964) for F mc and (y ϭ 0.883x ϩ 0.505, R ϭ 0.935) for V m . On the entire group, F mc was equal to 0.392 Ϯ 0.069 and V m to 5.4 Ϯ 2.3 cm/s. Increasing values of the temporal parameter from the apex to the base and larger values in the septal wall than in lateral wall were demonstrated and were in accordance with the physiology. Conclusion:The proposed method ensures an automated and robust assessment of regional wall motion parameters, which could be clinically useful.

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Interobserver Variability in Assessing Segmental Function can be Reduced by Combining Visual Analysis of CMR Cine Sequences with Corresponding Parametric Images of Myocardial Contraction

Abstract: Adding a color-coded static parametric image to routine subjective visual assessment of SC reduces interobserver variability.

Cited by 20 publications

References 43 publications

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

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

Regional myocardial radial velocities estimation from cine MR images Study of a patient-related coefficient effect

Automated estimation of regional mean transition times and radial velocities from cine magnetic resonance images: Evaluation in normal subjects

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