Characterizing fMRI activations within regions of interest (ROIs) using 3D moment invariants

Bernard Ng, Rafeef Abugharbieh, Xuemei Huang, Martin J. McKeown

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

8 Scopus citations

Abstract

A novel method is proposed for characterizing spatial distribution changes in functional magnetic resonance imaging (fMRI) activation statistics under different experimental conditions. The proposed technique, based on three dimensional (3D) invariant moment descriptors, was applied to fMRI data recorded from eight healthy subjects performing internally or externally-cued finger tapping sequences. Voxel-based activation statistics were characterized in several regions of interest (ROIs), including the supplementary motor area (SMA), cerebellum, primary motor cortex, prefrontal cortex, and caudate. Examining the activation patterns of these neural regions using 3D moment invariants revealed that the patterns of activation regions were significantly different during externally and internally cued tasks when computed across subjects. In contrast, traditional methods that are based on amplitude of the activation statistics demonstrated reduced discriminability. The results suggest that the spatial distribution of activation is a more sensitive measure of activation changes, and complements conventional fMRI analyses.

Original languageEnglish (US)
Title of host publication2006 Conference on Computer Vision and Pattern Recognition Workshop
DOIs
Publication statusPublished - Dec 21 2006
Event2006 Conference on Computer Vision and Pattern Recognition Workshops - New York, NY, United States
Duration: Jun 17 2006Jun 22 2006

Publication series

NameProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Volume2006
ISSN (Print)1063-6919

Other

Other2006 Conference on Computer Vision and Pattern Recognition Workshops
CountryUnited States
CityNew York, NY
Period6/17/066/22/06

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All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition

Cite this

Ng, B., Abugharbieh, R., Huang, X., & McKeown, M. J. (2006). Characterizing fMRI activations within regions of interest (ROIs) using 3D moment invariants. In 2006 Conference on Computer Vision and Pattern Recognition Workshop [1640504] (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; Vol. 2006). https://doi.org/10.1109/CVPRW.2006.52