Segmenting a beating heart using Polysegment and Spatial GPCA

Avinash Ravichandran, Reńe Vidal, Henry Halperin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish (US)
Title of host publication2006 3rd IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro - Proceedings
PublisherIEEE Computer Society
Pages634-637
Number of pages4
ISBN (Print)0780395778, 9780780395770
DOIs
StatePublished - 2006
Event2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Arlington, VA, United States
Duration: Apr 6 2006Apr 9 2006

Publication series

Name2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings
Volume2006

Other

Other2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro
CountryUnited States
CityArlington, VA
Period4/6/064/9/06

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'Segmenting a beating heart using Polysegment and Spatial GPCA'. Together they form a unique fingerprint.

Cite this