Contour-based registration technique to differentiate between task- activated and head motion-induced signal variations in fMRI

Bharat B. Biswal, James S. Hyde

Research output: Contribution to journalArticlepeer-review

40 Scopus citations

Abstract

Data acquired using functional magnetic resonance imaging are often contaminated by head motion. As a result, optimal information regarding task- induced (or resting-state) signal changes cannot be extracted. Intensity- based registration methods, including intensity correlation or minimum intensity variance techniques, are widely used to register two or more images. It is shown here that intensity-based registration cannot accurately register two or more images in the presence of local intensity changes arising from functional magnetic resonance, fMRI, signals. In this paper, we present a contour-based technique that can be used not only for a more robust registration, but also to help differentiate between task-induced and motion- induced signal changes. Results obtained using both phantom and human brain images demonstrate advantages of this technique compared with a conventional intensity registration technique.

Original languageEnglish (US)
Pages (from-to)470-476
Number of pages7
JournalMagnetic Resonance in Medicine
Volume38
Issue number3
DOIs
StatePublished - Sep 1997
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

Keywords

  • Functional MRI
  • Head motion
  • Image registration

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