A toolbox for generating scalable mitral valve morphometric models

Diana C. de Oliveira*, Daniel M. Espino, Luca Deorsola, Jonathan P. Mynard, Vijay Rajagopal, Keith Buchan, Dana Dawson, Duncan E. T. Shepherd

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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The mitral valve is a complex anatomical structure, whose shape is key to several traits of its function and disease, being crucial for the success of surgical repair and implantation of medical devices. The aim of this study was to develop a parametric, scalable, and clinically useful model of the mitral valve, enabling the biomechanical evaluation of mitral repair techniques through finite element simulations. MATLAB was used to parameterize the valve: the annular boundary was sampled from a porcine mitral valve mesh model and landmark points and relevant boundaries were selected for the parameterization of leaflets using polynomial fitting. Several geometric parameters describing the annulus, leaflet shape and papillary muscle position were implemented and used to scale the model according to patient dimensions. The developed model, available as a toolbox, allows for the generation of a population of models using patient-specific dimensions obtained from medical imaging or averaged dimensions evaluated from empirical equations based on the Golden Proportion. The average model developed using this framework accurately represents mitral valve shapes, associated with relative errors reaching less than 10% for annular and leaflet length dimensions, and less than 24% in comparison with clinical data. Moreover, model generation takes less than 5 min of computing time, and the toolbox can account for individual morphological variations and be employed to evaluate mitral valve biomechanics; following further development and validation, it will aid clinicians when choosing the best patient-specific clinical intervention and improve the design process of new medical devices.

Original languageEnglish
Article number104628
JournalComputers in Biology and Medicine
Early online date5 Jul 2021
Publication statusPublished - Aug 2021

Bibliographical note

Publisher Copyright:
© 2021 Elsevier Ltd


  • Anatomy
  • Biomechanics
  • Computational
  • Mitral valve
  • Morphometry
  • Parametric model

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Informatics


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