title: A dynamical appearance model based on multiscale sparse representation: segmentation of the left ventricle from 4D echocardiography.
abstract: The spatio-temporal coherence in data plays an important role in echocardiographic segmentation. While learning offline dynamical priors from databases has received considerable attention, these priors may not be suitable for post-infarct patients and children with congenital heart disease. This paper presents a dynamical appearance model (DAM) driven by individual inherent data coherence. It employs multi-scale sparse representation of local appearance, learns online multiscale appearance dictionaries as the image sequence is segmented sequentially, and integrates a spectrum of complementary multiscale appearance information including intensity, multiscale local appearance, and dynamical shape predictions. It overcomes the limitations of database-driven statistical models and applies to a broader range of subjects. Results on 26 4D canine echocardiographic images acquired from both healthy and post-infarct subjects show that our method significantly improves segmentation accuracy and robustness compared to a conventional intensity model and our previous single-scale sparse representation method.
authors.affiliation: Electrical Engineering, Yale University, New Haven, CT, USA. xiaojie.huang@yale.edu
authors.forename: Xiaojie
authors.initials: X
authors.lastname: Huang
authors.forename: Donald P
authors.initials: DP
authors.lastname: Dione
authors.forename: Colin B
authors.initials: CB
authors.lastname: Compas
authors.forename: Xenophon
authors.initials: X
authors.lastname: Papademetris
authors.forename: Ben A
authors.initials: BA
authors.lastname: Lin
authors.forename: Albert J
authors.initials: AJ
authors.lastname: Sinusas
authors.forename: James S
authors.initials: JS
authors.lastname: Duncan
mesh_terms: D055424:Cardiac-Gated Imaging Techniques / Q000379:methods*; D003198:Computer Simulation; D019560:Echocardiography, Three-Dimensional / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008955:Models, Cardiovascular; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D018487:Ventricular Dysfunction, Left / Q000000981:diagnostic imaging*