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The algorithm discovers the motion path of key point in a cardiac cycle via spline interpolation, and then the results were used to estimate the velocity and ...
Understanding the heartpsilas mechanics is crucial for clinical investigation, diagnosis and patient care. This paper presents a novel point distribution model ...
The algorithm discovers the motion path of key point in a cardiac cycle via spline interpolation, and then the results were used to estimate the velocity and ...
Right ventricle functional parameters estimation in arrhythmogenic right ventricular dysplasia using a robust shape based deformable model · Authors.
Deformable cardiac surface tracking by adaptive estimation algorithms
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Jan 25, 2023 · This study presents a particle filter based framework to track cardiac surface from a time sequence of single magnetic resonance imaging ...
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Fig. 9. Model fitted to SPAMM data (LV mid-wall) from a normal heart during systole: (a) time 1 (ED), (b) time 2, (c) time 3, (d) time 4, and (e) time 5 ...
Abstract. This paper proposes a new approach for functional analysis of car- diac images. A generic heart model is coupled with finite element methods to.
This model requires the specification of a number of rather non-intuitive parameters which control the shape variability of the deformed templates. Our goal is ...
Abstract—We present a method to estimate left ventricular (LV) motion based on three-dimensional (3-D) images that can be de-.
In this work, we employ deep learning algorithms combined with deformable models to develop and evaluate a fully automatic LV segmentation tool from short-axis ...