@proceedings{17704,
  author = {Gabriel Balaban and Eivind Aabel and Margareth Ribe and Anna Castrini and Kristina Haugaa and Molly Maleckar},
  title = {Towards an Automated Pipeline to Create Patient Specific 3D LV Geometry Models of Patients with Mitral Annular Disjunction},
  abstract = {Mitral annular disjunction (MAD) is characterized by an abnormal insertion of the posterior mitral leaflet on the atrial wall. Despite its often subtle presentation, the presence of MAD can be a warning sign of future ventricular tachycardia (VT) and sudden cardiac death (SCD), as recent studies have shown association among MAD-related imaging metrics and VT/SCA. Nevertheless, the precise mechanisms leading to VT/SCD in patients with MAD are poorly understood. A comprehensive 3D shape analysis of the left ventricles (LV) of patients with MAD may provide further insight and help to elucidate mechanisms. Towards this end, we created a patient-specific 3D LV geometry modelling pipeline for patients with MAD, to enable future morphological studies based on cardiac short axis magnetic resonance imaging (MRI). We applied our pipeline to derive personalized 3D LV geometries in a cohort of 69 patients with {\textellipsis}},
  year = {2022},
  journal = {2022 Computing in Cardiology (CinC)},
  month = {09/2022},
  publisher = {IEEE},
}