Nadjia Kachenoura

Summary

Country: France

Publications

  1. ncbi Evaluation of regional myocardial function using automated wall motion analysis of cine MR images: Contribution of parametric images, contraction times, and radial velocities
    Nadjia Kachenoura
    Institut Nationale de la Santé et de la Recherche Médicale INSERM, U678, Paris, France
    J Magn Reson Imaging 26:1127-32. 2007
  2. ncbi An automated four-point scale scoring of segmental wall motion in echocardiography using quantified parametric images
    N Kachenoura
    INSERM U 678, University Pierre et Marie Curie, CHU Pitié Salpêtrière 91, Boulevard de l Hopital, 75634 Paris Cedex 13, France
    Phys Med Biol 55:5753-66. 2010
  3. ncbi Automatic detection of end systole within a sequence of left ventricular echocardiographic images using autocorrelation and mitral valve motion detection
    Nadjia Kachenoura
    INSERM U678 and UPMC, CHU Pitie Salpetriere, 75634 Paris Cedex 13, France
    Conf Proc IEEE Eng Med Biol Soc 2007:4504-7. 2007
  4. ncbi Automated left ventricular diastolic function evaluation from phase-contrast cardiovascular magnetic resonance and comparison with Doppler echocardiography
    Emilie Bollache
    INSERM U678 UPMC Université Paris 6, Paris, France
    J Cardiovasc Magn Reson 12:63. 2010
  5. ncbi Evaluation of aortic valve stenosis using cardiovascular magnetic resonance: comparison of an original semiautomated analysis of phase-contrast cardiovascular magnetic resonance with Doppler echocardiography
    Carine Defrance
    INSERM U678 UPMC Université Paris 6, Hopital Europeen Georges Pompidou, 20 rue Leblanc, Paris, France
    Circ Cardiovasc Imaging 5:604-12. 2012
  6. ncbi Consistency of aortic distensibility and pulse wave velocity estimates with respect to the Bramwell-Hill theoretical model: a cardiovascular magnetic resonance study
    Anas Dogui
    INSERM U678, Paris, France
    J Cardiovasc Magn Reson 13:11. 2011
  7. ncbi Automated segmentation of the aorta from phase contrast MR images: validation against expert tracing in healthy volunteers and in patients with a dilated aorta
    Alain Herment
    INSERM U678, Paris, France
    J Magn Reson Imaging 31:881-8. 2010
  8. ncbi Robust assessment of the transmural extent of myocardial infarction in late gadolinium-enhanced MRI studies using appropriate angular and circumferential subdivision of the myocardium
    Nadjia Kachenoura
    INSERM U678, 91 Boulevard de l Hopital, 75634 Paris Cedex 13, France
    Eur Radiol 18:2140-7. 2008
  9. ncbi Evaluation of an edge-based registration method: application to magnetic resonance first-pass myocardial perfusion data
    Nadjia Kachenoura
    INSERM U678, Laboratoire d Imagerie Fonctionnelle, Paris, France
    Magn Reson Imaging 29:853-60. 2011
  10. ncbi Automated estimation of regional mean transition times and radial velocities from cine magnetic resonance images: evaluation in normal subjects
    Racha El-Berbari
    INSERM, U678, UPMC Univ Paris 06, UMR_S 678, Paris Cedex 13, France
    J Magn Reson Imaging 30:236-42. 2009

Collaborators

Detail Information

Publications13

  1. ncbi Evaluation of regional myocardial function using automated wall motion analysis of cine MR images: Contribution of parametric images, contraction times, and radial velocities
    Nadjia Kachenoura
    Institut Nationale de la Santé et de la Recherche Médicale INSERM, U678, Paris, France
    J Magn Reson Imaging 26:1127-32. 2007
    ..To develop fast and robust procedures for a clinical evaluation of regional myocardial contractile function...
  2. ncbi An automated four-point scale scoring of segmental wall motion in echocardiography using quantified parametric images
    N Kachenoura
    INSERM U 678, University Pierre et Marie Curie, CHU Pitié Salpêtrière 91, Boulevard de l Hopital, 75634 Paris Cedex 13, France
    Phys Med Biol 55:5753-66. 2010
    ..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...
  3. ncbi Automatic detection of end systole within a sequence of left ventricular echocardiographic images using autocorrelation and mitral valve motion detection
    Nadjia Kachenoura
    INSERM U678 and UPMC, CHU Pitie Salpetriere, 75634 Paris Cedex 13, France
    Conf Proc IEEE Eng Med Biol Soc 2007:4504-7. 2007
    ..84 for the first method. This coefficient was improved to 0.87 for the second method and increased significantly to r=0.93 for the third method...
  4. ncbi Automated left ventricular diastolic function evaluation from phase-contrast cardiovascular magnetic resonance and comparison with Doppler echocardiography
    Emilie Bollache
    INSERM U678 UPMC Université Paris 6, Paris, France
    J Cardiovasc Magn Reson 12:63. 2010
    ....
  5. ncbi Evaluation of aortic valve stenosis using cardiovascular magnetic resonance: comparison of an original semiautomated analysis of phase-contrast cardiovascular magnetic resonance with Doppler echocardiography
    Carine Defrance
    INSERM U678 UPMC Université Paris 6, Hopital Europeen Georges Pompidou, 20 rue Leblanc, Paris, France
    Circ Cardiovasc Imaging 5:604-12. 2012
    ..We hypothesized that semiautomated analysis of aortic hemodynamics from PC-CMR might provide reproducible and accurate evaluation of aortic valve area (AVA), aortic velocities, and gradients in agreement with TTE...
  6. ncbi Consistency of aortic distensibility and pulse wave velocity estimates with respect to the Bramwell-Hill theoretical model: a cardiovascular magnetic resonance study
    Anas Dogui
    INSERM U678, Paris, France
    J Cardiovasc Magn Reson 13:11. 2011
    ..This study aimed at evaluating the consistency of the automated estimation of regional and local aortic stiffness indices from cardiovascular magnetic resonance (CMR) data...
  7. ncbi Automated segmentation of the aorta from phase contrast MR images: validation against expert tracing in healthy volunteers and in patients with a dilated aorta
    Alain Herment
    INSERM U678, Paris, France
    J Magn Reson Imaging 31:881-8. 2010
    ..To assess if segmentation of the aorta can be accurately achieved using the modulus image of phase contrast (PC) magnetic resonance (MR) acquisitions...
  8. ncbi Robust assessment of the transmural extent of myocardial infarction in late gadolinium-enhanced MRI studies using appropriate angular and circumferential subdivision of the myocardium
    Nadjia Kachenoura
    INSERM U678, 91 Boulevard de l Hopital, 75634 Paris Cedex 13, France
    Eur Radiol 18:2140-7. 2008
    ..86. The computer-assisted method quantifies infarct transmurality without defining remote and infarcted regions, and the transmural extent is accurately characterized when dividing each segment into three angular sub-segments...
  9. ncbi Evaluation of an edge-based registration method: application to magnetic resonance first-pass myocardial perfusion data
    Nadjia Kachenoura
    INSERM U678, Laboratoire d Imagerie Fonctionnelle, Paris, France
    Magn Reson Imaging 29:853-60. 2011
    ..Quantification of cardiac magnetic resonance (CMR) myocardial perfusion remains time consuming since it requires manual interventions to compensate for motion. Thus, the aim of this study was to evaluate a semiautomated registration method...
  10. ncbi Automated estimation of regional mean transition times and radial velocities from cine magnetic resonance images: evaluation in normal subjects
    Racha El-Berbari
    INSERM, U678, UPMC Univ Paris 06, UMR_S 678, Paris Cedex 13, France
    J Magn Reson Imaging 30:236-42. 2009
    ..To assess regional ventricular function via an accurate and automated definition of functional parameters...
  11. ncbi Automated estimation of aortic strain from steady-state free-precession and phase contrast MR images
    Alain Herment
    INSERM, UMR_S 678, Laboratoire d Imagerie Fonctionnelle, Paris, France
    Magn Reson Med 65:986-93. 2011
    ..Thus, if PC acquisitions can be used to estimate both pulse wave velocity and aortic strain, an additional SSFP sequence may be useful to improve the accuracy in estimating the aortic strain...
  12. ncbi Interobserver variability in assessing segmental function can be reduced by combining visual analysis of CMR cine sequences with corresponding parametric images of myocardial contraction
    Alban B Redheuil
    AP HP, Georges Pompidou European Hospital, Cardiovascular Imaging Department, Paris, France
    J Cardiovasc Magn Reson 9:863-72. 2007
    ..To evaluate if color-coded parametric images could help subjective visual analysis and improve interobserver agreement in the evaluation of segmental contraction (SC) in CMR...
  13. ncbi Measurement of aortic arch pulse wave velocity in cardiovascular MR: comparison of transit time estimators and description of a new approach
    Anas Dogui
    Inserm U678 UPMC Univ Paris 6, France
    J Magn Reson Imaging 33:1321-9. 2011
    ..To investigate the efficiency of a new method (TT-Upslope) for transit time (Δt) estimation from cardiovascular MR (CMR) velocity curves...