Special Issue - Review

Medical & Biological Engineering & Computing

, Volume 51, Issue 11, pp 1209-1219

Generating anatomical models of the heart and the aorta from medical images for personalized physiological simulations

  • J. WeeseAffiliated withPhilips Research Laboratories Email author 
  • , A. GrothAffiliated withPhilips Research Laboratories
  • , H. NickischAffiliated withPhilips Research Laboratories
  • , H. BarschdorfAffiliated withPhilips Research Laboratories
  • , F. M. WeberAffiliated withPhilips Research Laboratories
  • , J. VelutAffiliated withLaboratoire Traitement du Signal et de l’Image, Université de Rennes and Unit INSERM U1099
  • , M. CastroAffiliated withLaboratoire Traitement du Signal et de l’Image, Université de Rennes and Unit INSERM U1099
  • , C. ToumoulinAffiliated withLaboratoire Traitement du Signal et de l’Image, Université de Rennes and Unit INSERM U1099
  • , J. L. CoatrieuxAffiliated withLaboratoire Traitement du Signal et de l’Image, Université de Rennes and Unit INSERM U1099
    • , M. De CraeneAffiliated withCISTIB, Universitat Pompeu Fabra
    • , G. PiellaAffiliated withCISTIB, Universitat Pompeu Fabra
    • , C. Tobón-GomezAffiliated withCISTIB, Universitat Pompeu Fabra
    • , A. F. FrangiAffiliated withCISTIB, Universitat Pompeu FabraDepartment of Mechanical Engineering, The University of Sheffield
    • , D. C. BarberAffiliated withGroup of Medical Physics, School of Medicine and Biomedical Sciences, The Royal Hallamshire Hospital, The University of Sheffield
    • , I. ValverdeAffiliated withDivision of Imaging Sciences and Biomedical Engineering, King’s College London
    • , Y. ShiAffiliated withGroup of Medical Physics, School of Medicine and Biomedical Sciences, The Royal Hallamshire Hospital, The University of Sheffield
    • , C. StaicuAffiliated withGroup of Medical Physics, School of Medicine and Biomedical Sciences, The Royal Hallamshire Hospital, The University of Sheffield
    • , A. BrownAffiliated withGroup of Medical Physics, School of Medicine and Biomedical Sciences, The Royal Hallamshire Hospital, The University of Sheffield
    • , P. BeerbaumAffiliated withDivision of Imaging Sciences and Biomedical Engineering, King’s College London
    • , D. R. HoseAffiliated withGroup of Medical Physics, School of Medicine and Biomedical Sciences, The Royal Hallamshire Hospital, The University of Sheffield

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Abstract

The anatomy and motion of the heart and the aorta are essential for patient-specific simulations of cardiac electrophysiology, wall mechanics and hemodynamics. Within the European integrated project euHeart, algorithms have been developed that allow to efficiently generate patient-specific anatomical models from medical images from multiple imaging modalities. These models, for instance, account for myocardial deformation, cardiac wall motion, and patient-specific tissue information like myocardial scar location. Furthermore, integration of algorithms for anatomy extraction and physiological simulations has been brought forward. Physiological simulations are linked closer to anatomical models by encoding tissue properties, like the muscle fibers, into segmentation meshes. Biophysical constraints are also utilized in combination with image analysis to assess tissue properties. Both examples show directions of how physiological simulations could provide new challenges and stimuli for image analysis research in the future.

Keywords

Physiological simulation Patient-specific anatomical model Heart and aorta segmentation Coronary veins Heart motion Wall mechanics Pressure wave Tissue properties