Partially adaptive STAP algorithm approaches to functional MRI

Lejian Huang*, Elizabeth A. Thompson, Vincent Schmithorst, Scott K. Holland, Thomas M. Talavage

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


In this paper, the architectures of three partially adaptive space-time adaptive processing (STAP) algorithms are introduced, one of which is explored in detail, that reduce dimensionality and improve tractability over fully adaptive STAP when used in the construction of brain activation maps in functional magnetic resonance imaging (fMRI). Computer simulations incorporating actual MRI noise and human data analysis indicate that element space partially adaptive STAP can attain close to the performance of fully adaptive STAP while significantly decreasing processing time and maximum memory requirements, and thus demonstrates potential in fMRI analysis.

Original languageEnglish (US)
Article number4637869
Pages (from-to)518-521
Number of pages4
JournalIEEE Transactions on Biomedical Engineering
Issue number2
StatePublished - Feb 2009


  • Element space partially adaptive STAP
  • Functional magnetic resonance imaging (fMRI)
  • Image processing
  • Space-time adaptive processing (STAP)

ASJC Scopus subject areas

  • Biomedical Engineering


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