title: Personalization of cardiac motion and contractility from images using variational data assimilation.
abstract: Personalization is a key aspect of biophysical models in order to impact clinical practice. In this paper, we propose a personalization method of electromechanical models of the heart from cine-MR images based on the adjoint method. After estimation of electrophysiological parameters, the cardiac motion is estimated based on a proactive electromechanical model. Then cardiac contractilities on two or three regions are estimated by minimizing the discrepancy between measured and simulation motion. Evaluation of the method on three patients with infarcted or dilated myocardium is provided.
authors.affiliation: INRIA, the French National Institute for Research in Computer Science and Control, Sophia Antipolis, France. herve.delingette@inria.fr
authors.forename: Herve
authors.initials: H
authors.lastname: Delingette
authors.forename: Florence
authors.initials: F
authors.lastname: Billet
authors.forename: Ken C L
authors.initials: KC
authors.lastname: Wong
authors.forename: Maxime
authors.initials: M
authors.lastname: Sermesant
authors.forename: Kawal
authors.initials: K
authors.lastname: Rhode
authors.forename: Matthew
authors.initials: M
authors.lastname: Ginks
authors.forename: C Aldo
authors.initials: CA
authors.lastname: Rinaldi
authors.forename: Reza
authors.initials: R
authors.lastname: Razavi
authors.forename: Nicholas
authors.initials: N
authors.lastname: Ayache
mesh_terms: D003198:Computer Simulation; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D019028:Magnetic Resonance Imaging, Cine / Q000379:methods*; D008955:Models, Cardiovascular; D009068:Movement; D009200:Myocardial Contraction; D057285:Precision Medicine / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D018487:Ventricular Dysfunction, Left / Q000175:diagnosis* / Q000473:pathology / Q000503:physiopathology*