title: LV shape and motion: B-spline-based deformable model and sequential motion decomposition.
abstract: In this paper, we extend a previous work by J. Park and propose a uniform framework to reconstruct left ventricle (LV) geometry/motion from tagged MR images. In our work, the LV is modeled as a generalized prolate spheroid, and its motion is decomposed into four components-global translation, polar radial/z-axis compression, twisting, and bending. By formulating model parameters as tensor products of B-splines, we develop efficient algorithms to quickly reconstruct LV geometry/motion from extracted boundary contours and tracked planar tags. Experiments on both synthesized and in vivo data are also reported.
authors.affiliation: Department of Mathematics, The Ohio State University, Columbus, OH 43210, USA. gluo@math.ohio-state.edu
authors.forename: Guo
authors.initials: G
authors.lastname: Luo
authors.forename: Pheng Ann
authors.initials: PA
authors.lastname: Heng
mesh_terms: D000465:Algorithms; D004548:Elasticity; D006352:Heart Ventricles / Q000473:pathology / Q000503:physiopathology; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008955:Models, Cardiovascular; D009068:Movement; D009200:Myocardial Contraction; D017202:Myocardial Ischemia / Q000150:complications / Q000175:diagnosis* / Q000503:physiopathology*; D010363:Pattern Recognition, Automated / Q000379:methods; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D018487:Ventricular Dysfunction, Left / Q000175:diagnosis* / Q000209:etiology / Q000503:physiopathology*