Segmenting a beating heart using Polysegment and Spatial GPCA

Avinash Ravichandran; Reńe Vidal; Henry Halperin

doi:10.1109/isbi.2006.1624996

Segmenting a beating heart using Polysegment and Spatial GPCA

Avinash Ravichandran, Reńe Vidal, Henry Halperin

School of Medicine

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Scopus citations

Abstract

Given a volume of cardiac MR images, we consider the problem of segmenting the heart based on intensity and dynamics. We first segment the heart and the chest from the background using an algebraic technique for intensity based segmentation called Polysegment. As the heart and the chest exhibit different dynamics, we model the image temporal evolution as the output of two different linear dynamical systems. Under this model, the trajectories of the heart and chest intensities lie in different subspaces. We thus propose a method called Spatial GPCA for clustering data points lying in multiple subspaces, while maintaining the spatial coherence of the data points. We compare the segmentation results of Spatial GPCA to those of K-Subspaces, another popular subspace clustering algorithm.

Original language	English (US)
Title of host publication	2006 3rd IEEE International Symposium on Biomedical Imaging
Subtitle of host publication	From Nano to Macro - Proceedings
Publisher	IEEE Computer Society
Pages	634-637
Number of pages	4
ISBN (Print)	0780395778, 9780780395770
DOIs	https://doi.org/10.1109/isbi.2006.1624996
State	Published - 2006
Event	2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Arlington, VA, United States Duration: Apr 6 2006 → Apr 9 2006

Publication series

Name	2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings
Volume	2006

Other

Other	2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro
Country/Territory	United States
City	Arlington, VA
Period	4/6/06 → 4/9/06

ASJC Scopus subject areas

General Engineering

Access to Document

10.1109/isbi.2006.1624996

Cite this

Ravichandran, A., Vidal, R., & Halperin, H. (2006). Segmenting a beating heart using Polysegment and Spatial GPCA. In 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings (pp. 634-637). Article 1624996 (2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings; Vol. 2006). IEEE Computer Society. https://doi.org/10.1109/isbi.2006.1624996

Segmenting a beating heart using Polysegment and Spatial GPCA. / Ravichandran, Avinash; Vidal, Reńe; Halperin, Henry.
2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. IEEE Computer Society, 2006. p. 634-637 1624996 (2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings; Vol. 2006).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ravichandran, A, Vidal, R & Halperin, H 2006, Segmenting a beating heart using Polysegment and Spatial GPCA. in 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings., 1624996, 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings, vol. 2006, IEEE Computer Society, pp. 634-637, 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Arlington, VA, United States, 4/6/06. https://doi.org/10.1109/isbi.2006.1624996

Ravichandran A, Vidal R, Halperin H. Segmenting a beating heart using Polysegment and Spatial GPCA. In 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. IEEE Computer Society. 2006. p. 634-637. 1624996. (2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings). doi: 10.1109/isbi.2006.1624996

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abstract = "Given a volume of cardiac MR images, we consider the problem of segmenting the heart based on intensity and dynamics. We first segment the heart and the chest from the background using an algebraic technique for intensity based segmentation called Polysegment. As the heart and the chest exhibit different dynamics, we model the image temporal evolution as the output of two different linear dynamical systems. Under this model, the trajectories of the heart and chest intensities lie in different subspaces. We thus propose a method called Spatial GPCA for clustering data points lying in multiple subspaces, while maintaining the spatial coherence of the data points. We compare the segmentation results of Spatial GPCA to those of K-Subspaces, another popular subspace clustering algorithm.",

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Segmenting a beating heart using Polysegment and Spatial GPCA

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