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A publicly available virtual cohort of four-chamber heart meshes for cardiac electro-mechanics simulations.
Strocchi, Marina; Augustin, Christoph M; Gsell, Matthias A F; Karabelas, Elias; Neic, Aurel; Gillette, Karli; Razeghi, Orod; Prassl, Anton J; Vigmond, Edward J; Behar, Jonathan M; Gould, Justin; Sidhu, Baldeep; Rinaldi, Christopher A; Bishop, Martin J; Plank, Gernot; Niederer, Steven A.
Afiliación
  • Strocchi M; School of Biomedical Engineering and Imaging Sciences, King's College London, London, City of London, United Kingdom.
  • Augustin CM; Institute of Biophysics, Medical University of Graz, Graz, Steiermark, Austria.
  • Gsell MAF; Institute of Biophysics, Medical University of Graz, Graz, Steiermark, Austria.
  • Karabelas E; School of Biomedical Engineering and Imaging Sciences, King's College London, London, City of London, United Kingdom.
  • Neic A; NumeriCor GmbH, Graz, Austria.
  • Gillette K; Institute of Biophysics, Medical University of Graz, Graz, Steiermark, Austria.
  • Razeghi O; School of Biomedical Engineering and Imaging Sciences, King's College London, London, City of London, United Kingdom.
  • Prassl AJ; Institute of Biophysics, Medical University of Graz, Graz, Steiermark, Austria.
  • Vigmond EJ; IHU Liryc, Electrophysiology and Heart Modeling Institute, fondation Bordeaux Université, F-33600 Pessac- Bordeaux, France.
  • Behar JM; University of Bordeaux, IMB, UMR 5251, F-33400 Talence, France.
  • Gould J; School of Biomedical Engineering and Imaging Sciences, King's College London, London, City of London, United Kingdom.
  • Sidhu B; Guy's and St Thomas' NHS Foundation Trust, London, City of London, United Kingdom.
  • Rinaldi CA; School of Biomedical Engineering and Imaging Sciences, King's College London, London, City of London, United Kingdom.
  • Bishop MJ; Guy's and St Thomas' NHS Foundation Trust, London, City of London, United Kingdom.
  • Plank G; School of Biomedical Engineering and Imaging Sciences, King's College London, London, City of London, United Kingdom.
  • Niederer SA; Guy's and St Thomas' NHS Foundation Trust, London, City of London, United Kingdom.
PLoS One ; 15(6): e0235145, 2020.
Article en En | MEDLINE | ID: mdl-32589679
ABSTRACT
Computational models of the heart are increasingly being used in the development of devices, patient diagnosis and therapy guidance. While software techniques have been developed for simulating single hearts, there remain significant challenges in simulating cohorts of virtual hearts from multiple patients. To facilitate the development of new simulation and model analysis techniques by groups without direct access to medical data, image analysis techniques and meshing tools, we have created the first publicly available virtual cohort of twenty-four four-chamber hearts. Our cohort was built from heart failure patients, age 67±14 years. We segmented four-chamber heart geometries from end-diastolic (ED) CT images and generated linear tetrahedral meshes with an average edge length of 1.1±0.2mm. Ventricular fibres were added in the ventricles with a rule-based method with an orientation of -60° and 80° at the epicardium and endocardium, respectively. We additionally refined the meshes to an average edge length of 0.39±0.10mm to show that all given meshes can be resampled to achieve an arbitrary desired resolution. We ran simulations for ventricular electrical activation and free mechanical contraction on all 1.1mm-resolution meshes to ensure that our meshes are suitable for electro-mechanical simulations. Simulations for electrical activation resulted in a total activation time of 149±16ms. Free mechanical contractions gave an average left ventricular (LV) and right ventricular (RV) ejection fraction (EF) of 35±1% and 30±2%, respectively, and a LV and RV stroke volume (SV) of 95±28mL and 65±11mL, respectively. By making the cohort publicly available, we hope to facilitate large cohort computational studies and to promote the development of cardiac computational electro-mechanics for clinical applications.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Simulación por Computador / Insuficiencia Cardíaca / Ventrículos Cardíacos Tipo de estudio: Etiology_studies / Guideline / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2020 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Simulación por Computador / Insuficiencia Cardíaca / Ventrículos Cardíacos Tipo de estudio: Etiology_studies / Guideline / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2020 Tipo del documento: Article País de afiliación: Reino Unido