A computational multiresolution BOLD fMRI model

Zikuan Chen, Vince Calhoun

Research output: Contribution to journalArticlepeer-review

7 Scopus citations


Blood oxygenation level-dependent (BOLD) functional magnetic resonance imaging (fMRI) is a widely used method for brain mapping. BOLD fMRI signal detection is based on an intravoxel dephasing mechanism. This model involves bulk nuclear spin precession in a BOLD-induced inhomogeneous magnetic field within a millimeter-resolution voxel, that is, BOLD signal formation spans a huge spatial scale range from Angstrom to millimeter. In this letter, we present a computational model for multiresolution BOLD fMRI simulation, which consists of partitioning the nuclear spin pool into spin packets at a mesoscopic scale (10 -6 m), and calculating multiresolution voxel signals by grouping spin packets at a macroscopic scale range (10 -5to 10 -3 m). Under a small-angle approximation, we find that the BOLD signal intensity is related to its phase counterpart (or BOLD fieldmap) across two spatial resolution levels.

Original languageEnglish (US)
Article number5784323
Pages (from-to)2995-2999
Number of pages5
JournalIEEE Transactions on Biomedical Engineering
Issue number10 PART 2
StatePublished - Oct 2011
Externally publishedYes


  • Intravoxel dephasing
  • multiresolution blood oxygenation level-dependent (BOLD) functional magnetic resonance imaging (fMRI)
  • phasor
  • small-angle approximation
  • spin packet

ASJC Scopus subject areas

  • Biomedical Engineering


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