Redha Boubertakh
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Redha Boubertakh has a total of 38 co-authors. Here are the top co-authors by number of shared publications:
- Steffen Ellebaek Petersen
Barts Heart Centre, St. Bartholomew's Hospital, West Smithfield, W Smithfield, London EC1A 7BE, UK
3 shared publications - Alistair A. Young
School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
1 shared publication - Andrew Bathgate
Resonance Health, 278 Stirling Highway, Claremont, WA, 6010, Australia
1 shared publication - Bernd Ittermann
Physikalisch‐Technische Bundesanstalt (PTB) Braunschweig and Berlin Germany
1 shared publication - Camilla Torlasco
Istituto Auxologico Italiano IRCCS, Department of Cardiology, piazzale Brescia 20, Milan, 20149, Italy
1 shared publication - Celine Royet
Resonance Health, 278 Stirling Highway, Claremont, WA, 6010, Australia
1 shared publication
Latest Publications
- 1 December 2017
- Published by Oxford University Press (OUP) in British Journal of Radiology
- Vol. 90 (1080) , 20170072
Myocardial deformation assessment using cardiovascular magnetic resonance-feature tracking technique
Background:Cardiovascular magnetic resonance (CMR) imaging is an important modality that allows the assessment of regional myocardial function by measuring myocardial deformation parameters, such as strain and strain rate throughout the cardiac cycle. Feature tracking is a promising quantitative post-processing technique that is increasingly used. It is commonly applied to cine images, in particular steady-state free precession, acquired during routine CMR examinations.Objective:To review the studies that have used feature tracking techniques in healthy subjects or patients with cardiovascular diseases. The article emphasizes the advantages and limitations of feature tracking when applied to regional deformation parameters. The challenges of applying the techniques in clinics and potential solutions are also reviewed.Results:Research studies in healthy volunteers and/or patients either applied CMR-feature tracking alone to assess myocardial motion or compared it with either established CMR-tagging techniq...
- 1 December 2017
- Published by Oxford University Press (OUP) in British Journal of Radiology
- Vol. 90 (1080) , 20170072
Myocardial deformation assessment using cardiovascular magnetic resonance-feature tracking technique
Background:Cardiovascular magnetic resonance (CMR) imaging is an important modality that allows the assessment of regional myocardial function by measuring myocardial deformation parameters, such as strain and strain rate throughout the cardiac cycle. Feature tracking is a promising quantitative post-processing technique that is increasingly used. It is commonly applied to cine images, in particular steady-state free precession, acquired during routine CMR examinations.Objective:To review the studies that have used feature tracking techniques in healthy subjects or patients with cardiovascular diseases. The article emphasizes the advantages and limitations of feature tracking when applied to regional deformation parameters. The challenges of applying the techniques in clinics and potential solutions are also reviewed.Results:Research studies in healthy volunteers and/or patients either applied CMR-feature tracking alone to assess myocardial motion or compared it with either established CMR-tagging techniq...
- Open Access
- 1 January 2016
- Published by Elsevier in Journal of Cardiovascular Magnetic Resonance
- Vol. 18 (1) , 58-20
A medical device-grade T1 and ECV phantom for global T1 mapping quality assurance—the T1 Mapping and ECV Standardization in cardiovascular magnetic resonance (T1MES) program
- 1 January 2016
- Published by Elsevier in Journal of Cardiovascular Magnetic Resonance
- Vol. 18 (1) , 58-20
Open AccessA medical device-grade T1 and ECV phantom for global T1 mapping quality assurance—the T1 Mapping and ECV Standardization in cardiovascular magnetic resonance (T1MES) program
- Top Cited PapersOpen Access
- 1 January 2016
- Published by Elsevier in Journal of Cardiovascular Magnetic Resonance
- Vol. 18 (1) , 1-7
UK Biobank's cardiovascular magnetic resonance protocol
- 1 January 2016
- Published by Elsevier in Journal of Cardiovascular Magnetic Resonance
- Vol. 18 (1) , 1-7
Top Cited PapersOpen AccessUK Biobank's cardiovascular magnetic resonance protocol
- 4 September 2013
- Published by Springer Nature in The International Journal of Cardiovascular Imaging
- Vol. 29 (8) , 1807-1817
Effect of atrial fibrillation ablation on myocardial function: insights from cardiac magnetic resonance feature tracking analysis
Restoration of sinus rhythm may result in an improvement of left heart function in patients with atrial fibrillation (AF). Cardiovascular magnetic resonance (CMR) feature tracking (FT) technique may help detect subtle wall-motion abnormalities. Consequently this study aimed to analyse existence and reversibility of subclinical cardiac dysfunction following atrial fibrillation ablation. 28 consecutive patients (mean age 61 years) with paroxysmal AF underwent pulmonary vein isolation. CMR imaging was done 3 (±3) days before and 3.4 (±1.1) months after ablation. Left heart function was determined by performing FT analysis. Statistical analysis included paired student’s t test, random effects metaanalysis to assess the cohort’s health status and Bland–Altman analysis. 17 patients (61 %) were free from AF at follow-up. Bland–Altman analysis showed good coefficients of variation. Of all 195 parameters, 27 changed (14 %):9 improved significantly (5 %), 12 worsened significantly (6 %), whereas 6 parameters worsened not significantly (3 %). 18 of 120 systolic parameters changed (15 %), 14 worsened (12 %), 4 improved (3 %). In 9 of 75 diastolic parameters, values changed (12 %): 5 improved (7 %) and 4 worsened (5 %). Meta-analysis revealed that our collective’s FT values at baseline didn’t differ significantly from healthy volunteers’ values [Q values of 0.01 (p value 0.921) and 1.499 (p value 0.221)]. AF patients undergoing ablation appear to have near normal cardiac wall motion, which does not improve following successful ablation. Feature tracking analysis is a reliable tool to determine treatment effects but is more likely to show positive findings if the population is unhealthy.
- 4 September 2013
- Published by Springer Nature in The International Journal of Cardiovascular Imaging
- Vol. 29 (8) , 1807-1817
Effect of atrial fibrillation ablation on myocardial function: insights from cardiac magnetic resonance feature tracking analysis
Restoration of sinus rhythm may result in an improvement of left heart function in patients with atrial fibrillation (AF). Cardiovascular magnetic resonance (CMR) feature tracking (FT) technique may help detect subtle wall-motion abnormalities. Consequently this study aimed to analyse existence and reversibility of subclinical cardiac dysfunction following atrial fibrillation ablation. 28 consecutive patients (mean age 61 years) with paroxysmal AF underwent pulmonary vein isolation. CMR imaging was done 3 (±3) days before and 3.4 (±1.1) months after ablation. Left heart function was determined by performing FT analysis. Statistical analysis included paired student’s t test, random effects metaanalysis to assess the cohort’s health status and Bland–Altman analysis. 17 patients (61 %) were free from AF at follow-up. Bland–Altman analysis showed good coefficients of variation. Of all 195 parameters, 27 changed (14 %):9 improved significantly (5 %), 12 worsened significantly (6 %), whereas 6 parameters worsened not significantly (3 %). 18 of 120 systolic parameters changed (15 %), 14 worsened (12 %), 4 improved (3 %). In 9 of 75 diastolic parameters, values changed (12 %): 5 improved (7 %) and 4 worsened (5 %). Meta-analysis revealed that our collective’s FT values at baseline didn’t differ significantly from healthy volunteers’ values [Q values of 0.01 (p value 0.921) and 1.499 (p value 0.221)]. AF patients undergoing ablation appear to have near normal cardiac wall motion, which does not improve following successful ablation. Feature tracking analysis is a reliable tool to determine treatment effects but is more likely to show positive findings if the population is unhealthy.