Spatial sparsification and low rank projection for fast analysis of multi-subject resting state fMRI data

Debadatta Dash, Vinayak Abrol, Anil Kumar Sao, Bharat Biswal

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

6 Scopus citations

Abstract

We present a computationally efficient approach for estimating the functional connectivity analysis in resting state Functional Magnetic Resonance Imaging (rs-fMRI) using ICA. The proposed approach sparsifies the data using voxels with high BOLD values (signal intensity) and nullifies the ones accounting for pseudo activations. In other words, the spatial complexity of rs-fMRI data is efficiently reduced by projecting data such that it has highest covariance and variance. This operation is followed by low-rank projection of sparsified data to reduce the temporal resolution leading to faster ICA algorithmic run times. Experimental results confirm that the proposed approach is about 4 χ faster, and can consistently find noise-free and more number of significantly active functional networks, compared to existing methods. The robustness of this approach is validated by bootstrapping based reliability tests using ICASSO toolbox.

Original languageEnglish (US)
Title of host publication2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018
PublisherIEEE Computer Society
Pages1280-1283
Number of pages4
ISBN (Electronic)9781538636367
DOIs
StatePublished - May 23 2018
Event15th IEEE International Symposium on Biomedical Imaging, ISBI 2018 - Washington, United States
Duration: Apr 4 2018Apr 7 2018

Publication series

NameProceedings - International Symposium on Biomedical Imaging
Volume2018-April
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Other

Other15th IEEE International Symposium on Biomedical Imaging, ISBI 2018
CountryUnited States
CityWashington
Period4/4/184/7/18

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

Keywords

  • EigenValue Decomposition
  • ICA
  • Rs-fMRI

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