14 results on '"Ferry, Pauline"'
Search Results
2. A vectorized Levenberg-Marquardt model fitting algorithm for efficient post-processing of cardiac T1 mapping MRI
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Liu, Shufang, Bustin, Aurelien, Ferry, Pauline, Codreanu, Andrei, Burschka, Darius, Menini, Anne, and Odille, Freddy
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- 2018
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3. Attendance at pre‐pregnancy care clinics for women with type 1 diabetes: A scoping review
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Ferry, Pauline, primary, Dunne, Fidelma P., additional, Meagher, Catherine, additional, Lennon, Roisin, additional, Egan, Aoife M., additional, and Newman, Christine, additional
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- 2022
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4. Impact of denoising on precision and accuracy of saturation‐recovery‐based myocardial T1 mapping
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Bustin, Aurélien, Ferry, Pauline, Codreanu, Andrei, Beaumont, Marine, Liu, Shufang, Burschka, Darius, Felblinger, Jacques, Brau, Anja C.S., Menini, Anne, and Odille, Freddy
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- 2017
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5. Attendance at pre‐pregnancy care clinics for women with type 1 diabetes: A scoping review.
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Ferry, Pauline, Dunne, Fidelma P., Meagher, Catherine, Lennon, Roisin, Egan, Aoife M., and Newman, Christine
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ONLINE information services , *MEDICAL information storage & retrieval systems , *HEALTH services accessibility , *SYSTEMATIC reviews , *TYPE 1 diabetes , *PATIENTS' attitudes , *PATIENT compliance , *MEDICAL appointments , *LITERATURE reviews , *MEDLINE , *PRECONCEPTION care , *OUTPATIENT services in hospitals - Abstract
Introduction: Type 1 diabetes mellitus occurs in one in every 275 pregnancies and can result in increased morbidity and mortality for both mother and baby. Several pregnancy complications can be reduced or prevented by attendance at pre‐pregnancy care (PPC). Despite this, less than 40% of pregnant women with pre‐gestational diabetes receive formal PPC. The aim of this scoping review is to identify the barriers to PPC attendance among women with type 1 diabetes. Methods: We conducted a scoping review by searching five databases (Ebsco, Embase, Ovid and PubMed for literature and the ProQuest for any grey/unpublished literature) for studies in English between 2000 and 2022. Studies that evaluated attendance at PPC for women with type 1 diabetes were included. Results: There are multiple barriers to PPC attendance, and many of these barriers have been unchanged since the 1990s. Identified barriers can be grouped under patient‐centered and clinician‐centered headings. Patient factors include knowledge and awareness, unplanned pregnancies, negative perceptions of healthcare and communication issues, unclear attendance pathways and logistical issues including time off work and childcare. Clinician factors include physician knowledge, time constraints and lack of comfort discussing pregnancy/contraception. Conclusion: This review highlights the ongoing problem of poor attendance at PPC and identifies key barriers to be addressed when developing and implementing PPC programs for women with type 1 diabetes. [ABSTRACT FROM AUTHOR]
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- 2023
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6. Motion correction of multi-contrast images applied to T1 and T2 quantification in cardiac MRI
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Menini, Anne, Slavin, Glenn S., Stainsby, Jeffrey A., Ferry, Pauline, Felblinger, Jacques, and Odille, Freddy
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- 2015
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7. Computational modeling of RF-induced heating due to a titanium-alloy rod: An Interlaboratory Comparison for the ASTM F2182 task group
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Murdock, Kyle, Gross, David C, Leewood, Alan, Serano, Peter, Horner, Marc, Nyenhuis, John, Payman Afshari, Moreno, Daniel, White, Joshua, Alnnasouri, Rada, Ferry, Pauline, Ponvianne, Yannick, Kozlov, Mikhail, Gerber, Claus, Bibiano, Cesar, Sunder Rajan, and Angelone, Leonardo M.
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- 2019
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8. Impact of denoising on precision and accuracy of saturation-recovery-based myocardial T 1 mapping
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Bustin, Aurélien, Ferry, Pauline, Codreanu, Andrei, Beaumont, Marine, Liu, Shufang, Burschka, Darius, Felblinger, Jacques, Brau, Anja C.S., Menini, Anne, Odille, Freddy, Imagerie Adaptative Diagnostique et Interventionnelle (IADI), Université de Lorraine (UL)-Institut National de la Santé et de la Recherche Médicale (INSERM), General Electric Global Research Center, Munich, Technische Universität München [München] (TUM), Centre Hospitalier de Luxembourg [Luxembourg] (CHL), Centre d'Investigation Clinique - Innovation Technologique [Nancy] (CIC-IT), Centre d'investigation clinique [Nancy] (CIC), Université de Lorraine (UL)-Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL)-Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM), Munich Heart Alliance, German Centre for Cardiovascular Research, partner site Munich Heart Alliance, Munich, Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), and Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM)
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myocardial T1 mapping ,accuracy ,[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging ,cardiac MRI ,denoising ,precision - Abstract
International audience; Purpose: To evaluate the impact of a novel postprocessing denoising technique on accuracy and precision in myocardial T1 mapping.Materials and methods: This study introduces a fast and robust denoising method developed for magnetic resonance T1 mapping. The technique imposes edge-preserving regularity and exploits the co-occurence of spatial gradients in the acquired T1 -weighted images. The proposed approach was assessed in simulations, ex vivo data and in vivo imaging on a cohort of 16 healthy volunteers (12 males, average age 39 ± 8 years, 62 ± 9 bpm) both in pre- and postcontrast injection. The method was evaluated in myocardial T1 mapping at 3T with a saturation-recovery technique that is accurate but sensitive to noise. ROIs in the myocardium and left-ventricle blood pool were analyzed by an experienced reader. Mean T1 values and standard deviation were extracted and compared in all studies.Results: Simulations on synthetic phantom showed signal-to-noise ratio and sharpness improvement with the proposed method in comparison with conventional denoising. In vivo results demonstrated that our method preserves accuracy, as no difference in mean T1 values was observed in the myocardium (precontrast: 1433/1426 msec, 95%CI: [-40.7, 55.9], p = 0.75, postcontrast: 766/759 msec, 95%CI: [-60.7, 77.2], p = 0.8). Meanwhile, precision was improved with standard deviations of T1 values being significantly decreased (precontrast: 223/151 msec, 95%CI: [27.3, 116.5], p = 0.003, postcontrast: 176/135 msec, 95%CI: [5.5, 77.1], p = 0.03).Conclusion: The proposed denoising method preserves accuracy and improves precision in myocardial T1 mapping, with the potential to offer better map visualization and analysis.Level of evidence: 3 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2017;46:1377-1388.
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- 2017
9. Characterization and optimisation of quantitative method for T1 measurements in cardiac MRI
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Ferry, Pauline, UL, Thèses, Imagerie Adaptative Diagnostique et Interventionnelle (IADI), Université de Lorraine (UL)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Lorraine, Christian de Chillou, Marine Beaumont, and Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL)
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[SDV.MHEP] Life Sciences [q-bio]/Human health and pathology ,Agent de contraste ,Myocardium ,Magnetic Resonance Imaging (MRI) ,Rythme cardiaque ,Fibrose ,Imagerie par résonance magnétique (IRM) ,Fibrosis ,Volume extracellulaire (ECV) ,Impulsion de saturation adiabatique ,Contrast agent ,Tissue characterization ,Myocarde ,Diastole ,Adiabatic saturation pulse ,Myocarde-Imagerie par résonance magnétique ,Caractérisation tissulaire ,Relaxation time T1 ,Temps de relaxation T1 ,[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology - Abstract
Cardiac Magnetic Resonance Imaging (MRI) has experienced growing interest due to its great potential in myocardial tissue characterization. Myocardium T1 values can be considered a useful imaging biomarker. Although many different T1 mapping techniques already exist, accurate and precise myocardial T1 quantification remains a desired yet challenging goal. Cardiac T1 mapping necessitates high precision to: i) discriminate values within the relatively short range of T1 values in healthy and diseased tissues, ii) allow both pre and post contrast agent injection T1 assessment, which is mandatory to compute the ECV and iii) allow comparison across platforms and hospitals. It should also provide a T1 value independent of heart rate. Among published methods, not any of them offer an “ideal” T1 quantification method. The main aim of this work is to optimize and to validate a precise and accurate quantitative T1 mapping technique. In order to achieve this goal, the sequence called « SMART1Map » based on the saturation recovery curve sampling was used. The first step consisted in performing T1 measurements on phantoms and healthy volunteers at 1,5T and 3T. Although this study allowed to assess accurate myocardium T1 values close to literature ones (1150 ± 84 ms), the sequence showed a poor precision likely due to a lack of robustness to magnetic field inhomogeneties and frequency offsets. Optimization (including simulation, implementation and tests) of the saturation RF pulse used in the sequence was carried out in phantoms then on healthy subjects at 3T. From this development, fibrosis detection through T1 measurements in clinical studies can now be started at 1.5T and 3T, L’imagerie par résonance magnétique (IRM) est un outil de choix pour la caractérisation tissulaire in vivo. Il est démontré que la mesure d’un temps caractéristique en IRM, appelé « T1 », est corrélée à la composition du tissu. Justesse et reproductibilité sont requises dans la mesure du T1 pour : i) discriminer les valeurs de T1 des tissus sains et fibrosés dont la gamme de valeurs est assez restreinte, ii) permettre la mesure avant et après injection d’agent de contraste et iii) comparer les valeurs de T1 entre sites et constructeurs. A ce jour, aucune des techniques publiées n’est en mesure de fournir une mesure de T1 « idéale ». L’objectif principal de cette thèse est d’optimiser et de valider une technique de mesure du T1 sur le myocarde, qui se propose d’allier ces deux qualités. Pour atteindre cet objectif, nous avons travaillé la séquence appelée « SMART1Map » basée sur le principe d’échantillonnage d’une courbe de saturation-récupération. Des essais sur objets tests et sur volontaires à 1,5T et 3T ont d’abord été réalisés. Bien que les valeurs moyennes de T1 mesurées chez 7 sujets étaient justes et correspondaient à la littérature (1150 ± 84 ms à 1,5T), les résultats ont montré une faible reproductibilité imputable en partie à un manque de robustesse de la séquence vis-à-vis des inhomogénéités de champ magnétique particulièrement importantes à 3T. L’optimisation (simulation, implémentation et tests) de l’impulsion radiofréquence de saturation constitutive de la séquence a été mise en œuvre à 3T, sur objets fantômes, puis sur volontaires sains. Ces travaux ouvrent la voie à la mise en place de mesure de biomarqueur IRM de la fibrose
- Published
- 2015
10. Impact of denoising on precision and accuracy of saturation-recovery-based myocardial T1 mapping.
- Author
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Bustin, Aurélien, Ferry, Pauline, Codreanu, Andrei, Beaumont, Marine, Liu, Shufang, Burschka, Darius, Felblinger, Jacques, Brau, Anja C.S., Menini, Anne, Odille, Freddy, and Bustin, Aurélien
- Subjects
ALGORITHMS ,COMPUTER simulation ,HEART ,DIGITAL image processing ,LONGITUDINAL method ,MAGNETIC resonance imaging ,MYOCARDIUM ,IMAGING phantoms ,RESEARCH evaluation ,CONTRAST media ,HUMAN research subjects ,STATISTICAL models - Abstract
Purpose: To evaluate the impact of a novel postprocessing denoising technique on accuracy and precision in myocardial T1 mapping.Materials and Methods: This study introduces a fast and robust denoising method developed for magnetic resonance T1 mapping. The technique imposes edge-preserving regularity and exploits the co-occurence of spatial gradients in the acquired T1 -weighted images. The proposed approach was assessed in simulations, ex vivo data and in vivo imaging on a cohort of 16 healthy volunteers (12 males, average age 39 ± 8 years, 62 ± 9 bpm) both in pre- and postcontrast injection. The method was evaluated in myocardial T1 mapping at 3T with a saturation-recovery technique that is accurate but sensitive to noise. ROIs in the myocardium and left-ventricle blood pool were analyzed by an experienced reader. Mean T1 values and standard deviation were extracted and compared in all studies.Results: Simulations on synthetic phantom showed signal-to-noise ratio and sharpness improvement with the proposed method in comparison with conventional denoising. In vivo results demonstrated that our method preserves accuracy, as no difference in mean T1 values was observed in the myocardium (precontrast: 1433/1426 msec, 95%CI: [-40.7, 55.9], p = 0.75, postcontrast: 766/759 msec, 95%CI: [-60.7, 77.2], p = 0.8). Meanwhile, precision was improved with standard deviations of T1 values being significantly decreased (precontrast: 223/151 msec, 95%CI: [27.3, 116.5], p = 0.003, postcontrast: 176/135 msec, 95%CI: [5.5, 77.1], p = 0.03).Conclusion: The proposed denoising method preserves accuracy and improves precision in myocardial T1 mapping, with the potential to offer better map visualization and analysis.Level Of Evidence: 3 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2017;46:1377-1388. [ABSTRACT FROM AUTHOR]- Published
- 2017
- Full Text
- View/download PDF
11. Effects of Blood T1 on Extracellular Volume Calculation
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Codreanu, Andrei, primary, Ferry, Pauline, additional, Beaumont, Marine, additional, and Marie, Pierre-Yves, additional
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- 2014
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12. Motion correction of multi-contrast images applied to T1 and T2 quantification in cardiac MRI
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Menini, Anne, primary, Slavin, Glenn S., additional, Stainsby, Jeffrey A., additional, Ferry, Pauline, additional, Felblinger, Jacques, additional, and Odille, Freddy, additional
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- 2014
- Full Text
- View/download PDF
13. Myocardium T1 measurement using single and multi-shot SMART1Map acquisition: pros and cons
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Ferry, Pauline, primary, Menini, Anne, additional, Slavin, Glenn S, additional, Stainsby, Jeff A, additional, Mandry, Damien, additional, Bonnemains, Laurent, additional, Felblinger, Jacques, additional, and Beaumont, Marine, additional
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- 2014
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14. Impact of denoising on precision and accuracy of saturation-recovery-based myocardial T 1 mapping.
- Author
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Bustin A, Ferry P, Codreanu A, Beaumont M, Liu S, Burschka D, Felblinger J, Brau ACS, Menini A, and Odille F
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- Adult, Algorithms, Cohort Studies, Computer Simulation, Contrast Media, Female, Healthy Volunteers, Humans, Image Processing, Computer-Assisted, Male, Middle Aged, Models, Statistical, Phantoms, Imaging, Reproducibility of Results, Signal-To-Noise Ratio, Heart diagnostic imaging, Magnetic Resonance Imaging, Myocardium pathology
- Abstract
Purpose: To evaluate the impact of a novel postprocessing denoising technique on accuracy and precision in myocardial T
1 mapping., Materials and Methods: This study introduces a fast and robust denoising method developed for magnetic resonance T1 mapping. The technique imposes edge-preserving regularity and exploits the co-occurence of spatial gradients in the acquired T1 -weighted images. The proposed approach was assessed in simulations, ex vivo data and in vivo imaging on a cohort of 16 healthy volunteers (12 males, average age 39 ± 8 years, 62 ± 9 bpm) both in pre- and postcontrast injection. The method was evaluated in myocardial T1 mapping at 3T with a saturation-recovery technique that is accurate but sensitive to noise. ROIs in the myocardium and left-ventricle blood pool were analyzed by an experienced reader. Mean T1 values and standard deviation were extracted and compared in all studies., Results: Simulations on synthetic phantom showed signal-to-noise ratio and sharpness improvement with the proposed method in comparison with conventional denoising. In vivo results demonstrated that our method preserves accuracy, as no difference in mean T1 values was observed in the myocardium (precontrast: 1433/1426 msec, 95%CI: [-40.7, 55.9], p = 0.75, postcontrast: 766/759 msec, 95%CI: [-60.7, 77.2], p = 0.8). Meanwhile, precision was improved with standard deviations of T1 values being significantly decreased (precontrast: 223/151 msec, 95%CI: [27.3, 116.5], p = 0.003, postcontrast: 176/135 msec, 95%CI: [5.5, 77.1], p = 0.03)., Conclusion: The proposed denoising method preserves accuracy and improves precision in myocardial T1 mapping, with the potential to offer better map visualization and analysis., Level of Evidence: 3 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2017;46:1377-1388., (© 2017 International Society for Magnetic Resonance in Medicine.)- Published
- 2017
- Full Text
- View/download PDF
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