Spatially local and temporally smooth PCA for fMRI

Magnus O. Ulfarsson, Victor Solo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

PCA has found use as an exploratory technique for fMRI analysis. However underlying it is an implicit model that while allowing temporal non-stationary covariance assumes the same covariance structure for all voxels. Here we relax this assumption for the first time by developing a version of PCA that allows the covariance structure to vary spatially. The new method is applied to real data and provides interesting new insight.

Original languageEnglish
Title of host publication2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings
Pages2853-2856
Number of pages4
DOIs
Publication statusPublished - 2006
Event2006 IEEE International Conference on Image Processing, ICIP 2006 - Atlanta, GA, United States
Duration: 8 Oct 200611 Oct 2006

Publication series

NameProceedings - International Conference on Image Processing, ICIP

Conference

Conference2006 IEEE International Conference on Image Processing, ICIP 2006
Country/TerritoryUnited States
CityAtlanta, GA
Period8/10/0611/10/06

Other keywords

  • Biomedical imaging
  • Imaging
  • Magnetic resonance

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