Bilinear models for spatio-temporal point distribution analysis: application to extrapolation of left ventricular, biventricular and whole heart cardiac dynamics
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 po...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2009 |
| País: | España |
| Institución: | Universitat Pompeu Fabra |
| Repositorio: | Repositorio Digital de la UPF |
| OAI Identifier: | oai:repositori.upf.edu:10230/16683 |
| Acceso en línea: | http://hdl.handle.net/10230/16683 http://dx.doi.org/10.1007/s11263-009-0212-6 |
| Access Level: | acceso abierto |
| Palabra clave: | Cor -- Imatges Cor -- Ferides i lesions Statistical shape modeling Cardiac modeling Cardiac dynamics Bilinear models Spatiotemporal decomposition |
| Sumario: | 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/ndifferent points in the same cycle, we can use the bilinear/nmodel 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/nconclude that the dynamics were indeed separated from the/ninter-subject variability in our dataset. |
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