Bilinear models for spatio-temporal point distribution analysis: Application to extrapolation of left ventricular, biventricular and whole heart cardiac dynamics
C Hoogendoorn, FM Sukno, S Ordás… - International Journal of …, 2009 - Springer
International Journal of Computer Vision, 2009•Springer
In this work we describe the usage of bilinear statistical models as a means of factoring the
shape variability into two components attributed to inter-subject variation and to the intrinsic
dynamics of the human heart. We show that it is feasible to reconstruct the shape of the heart
at discrete points in the cardiac cycle. Provided we are given a small number of shape
instances representing the same heart at different points in the same cycle, we can use the
bilinear model to establish this. Using a temporal and a spatial alignment step in the …
shape variability into two components attributed to inter-subject variation and to the intrinsic
dynamics of the human heart. We show that it is feasible to reconstruct the shape of the heart
at discrete points in the cardiac cycle. Provided we are given a small number of shape
instances representing the same heart at different points in the same cycle, we can use the
bilinear model to establish this. Using a temporal and a spatial alignment step in the …
Abstract
In this work we describe the usage of bilinear statistical models as a means of factoring the shape variability into two components attributed to inter-subject variation and to the intrinsic dynamics of the human heart. We show that it is feasible to reconstruct the shape of the heart at discrete points in the cardiac cycle. Provided we are given a small number of shape instances representing the same heart at different points in the same cycle, we can use the bilinear model to establish this.
Using a temporal and a spatial alignment step in the preprocessing of the shapes, around half of the reconstruction errors were on the order of the axial image resolution of 2 mm, and over 90% was within 3.5 mm. From this, we conclude that the dynamics were indeed separated from the inter-subject variability in our dataset.
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