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In this paper we propose an integrated cardiac segmentation and motion tracking algorithm. First, we present a subject-specific dynamical model (SSDM) that simultaneously handles inter-subject variability and temporal dynamics (intra-subject variability), such that it can progressively identify the subject vector associated with a new cardiac sequence, and use this subject vector to predict the subject-specific...
This paper presents a new shape registration algorithm that establishes "meaningful correspondence " between objects, in that it preserves the local shape correspondence between the source and target objects. By observing that an object's skeleton corresponds to its local shape peaks, we use skeleton to characterize the local shape of the source and target objects. Unlike traditional graph-based...
Accurate quantification of regional left ventricular (LV) deformation is crucial for detection of patients with ischemic heart disease. In this paper, we propose an integrated image analysis system that accurately quantifies regional LV strain from four dimensional (3 spatial dimensions and time) echocardiographic (4DE) images. Intramural displacement is estimated using a phase-sensitive-correlation-based...
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