Bilinear Models for Spatio-Temporal Point Distribution Analysis: Application to Extrapolation of Whole Heart Cardiac Dynamics
Abstract
In this work we introduce the usage of bilinear models as a means of factorising the shape variation induced by subject variability and the contraction of the human heart. We show that it is feasible to reconstruct the shape of the heart at a certain point in the cardiac cycle if we are given a small number of shapes representing the same heart at different points in the same cycle, using the bilinear model. Depending on pathology and the ratios between healthy and pathological hearts in the training set, RMS reconstruction errors measured between 1.39 and 16.58 millimetres, with a median of 6.79 and 90th percentile of 9.95 millimetres.
Cite
Text
Hoogendoorn et al. "Bilinear Models for Spatio-Temporal Point Distribution Analysis: Application to Extrapolation of Whole Heart Cardiac Dynamics." IEEE/CVF International Conference on Computer Vision, 2007. doi:10.1109/ICCV.2007.4409133Markdown
[Hoogendoorn et al. "Bilinear Models for Spatio-Temporal Point Distribution Analysis: Application to Extrapolation of Whole Heart Cardiac Dynamics." IEEE/CVF International Conference on Computer Vision, 2007.](https://mlanthology.org/iccv/2007/hoogendoorn2007iccv-bilinear/) doi:10.1109/ICCV.2007.4409133BibTeX
@inproceedings{hoogendoorn2007iccv-bilinear,
title = {{Bilinear Models for Spatio-Temporal Point Distribution Analysis: Application to Extrapolation of Whole Heart Cardiac Dynamics}},
author = {Hoogendoorn, Corné and Sukno, Federico and Ordas, Sebastián and Frangi, Alejandro F.},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {2007},
pages = {1-8},
doi = {10.1109/ICCV.2007.4409133},
url = {https://mlanthology.org/iccv/2007/hoogendoorn2007iccv-bilinear/}
}