A magnetic resonance software simulator for the evaluation of myocardial deformation estimation

Lucilio Cordero-Grande, Gonzalo Vegas-Sánchez-Ferrero, Pablo Casaseca-de-la-Higuera, Santiago Aja-Fernández, Carlos Alberola-López

Research output: Contribution to journalArticlepeer-review


This paper proposes a methodology to design a physiologically realistic computer simulator of images of the left ventricle myocardium based on a patient-specific biomechanical model. The simulator takes a magnetic resonance image of a given patient at end diastole, uses a manual segmentation of that image to model the geometry of the myocardium and sets the parameters of the constitutive model used for biomechanical simulation according to a regional labeling of the contractility of the myocardium for that patient. The simulated deformations are used to warp the magnetic resonance dataset throughout the cardiac cycle to generate different image modalities. The simulator is validated by quantifying its ability to model actual deformations in a set of patients affected by an acute myocardial infarction. Specifically a high correlation has been encountered between the ejection fraction derived from the simulated end systolic deformation of the myocardium and the myocardium segmented from actual data. Additionally, most of the parameters that describe the simulated deformation compare well with reported values. Overall, the simulator is intended as a testbed for extensive comparisons of myocardial motion tracking methods due to its ability to relate the impaired myocardial function with the associated ventricular remodeling, a novel contribution in the literature of cardiac image simulators.
Original languageEnglish
Pages (from-to)1331-1340
Number of pages10
JournalMedical Engineering & Physics
Issue number9
Publication statusPublished - 1 Sep 2013
Externally publishedYes


  • Cardiac simulator
  • Biomechanics
  • Motion estimation
  • Tagged magnetic resonance
  • Phase-contrast magnetic resonance


Dive into the research topics of 'A magnetic resonance software simulator for the evaluation of myocardial deformation estimation'. Together they form a unique fingerprint.

Cite this