title: Predictive Models with Patient Specific Material Properties for the Biomechanical Behavior of Ascending Thoracic Aneurysms.
abstract: The aim of this study is to identify the patient-specific material properties of ascending thoracic aortic aneurysms (ATAA) using preoperative dynamic gated computed tomography (CT) scans. The identification is based on the simultaneous minimization of two cost functions, which define the difference between model predictions and gated CT measurements of the aneurysm volume at respectively systole and cardiac mid-cycle. The method is applied on five patients who underwent surgical repair of their ATAA at the University Hospital Center of St. Etienne. For these patients, the aneurysms were collected and tested mechanically using an in vitro bench. For the sake of validation, the mechanical properties found using the in vivo approach and the in vitro bench were compared. We eventually performed finite-element stress analyses based on each set of material properties. Rupture risk indexes were estimated and compared, showing promising results of the patient-specific identification method based on gated CT.
authors.affiliation: Center for Biomedical and Healthcare Engineering, Ecole Nationale Supérieure des Mines de Saint-Etienne, CIS-EMSE, CNRS:UMR5307, LGF, Saint Etienne, France. olfa.trabelsi@emse.fr.
authors.forename: Olfa
authors.initials: O
authors.lastname: Trabelsi
authors.affiliation: Center for Biomedical and Healthcare Engineering, Ecole Nationale Supérieure des Mines de Saint-Etienne, CIS-EMSE, CNRS:UMR5307, LGF, Saint Etienne, France.|Cardiovascular Surgery Service, Hôpital Nord, CHU de Saint Etienne, 42055, Saint-Etienne, France.
authors.forename: Ambroise
authors.initials: A
authors.lastname: Duprey
authors.affiliation: Cardiovascular Surgery Service, Hôpital Nord, CHU de Saint Etienne, 42055, Saint-Etienne, France.
authors.forename: Jean-Pierre
authors.initials: JP
authors.lastname: Favre
authors.affiliation: Center for Biomedical and Healthcare Engineering, Ecole Nationale Supérieure des Mines de Saint-Etienne, CIS-EMSE, CNRS:UMR5307, LGF, Saint Etienne, France.
authors.forename: Stéphane
authors.initials: S
authors.lastname: Avril
mesh_terms: D000368:Aged; D001011:Aorta / Q000503:physiopathology*; D001014:Aortic Aneurysm / Q000000981:diagnostic imaging* / Q000503:physiopathology*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D008955:Models, Cardiovascular; D011237:Predictive Value of Tests; D011859:Radiography; D015898:Tomography Scanners, X-Ray Computed
keywords: ATAA; Inverse method; Mechanical properties; Rupture risk