Work

A Computational Multiresolution BOLD fMRI Model

Year: 2011

Type: article

Abstract: 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(-5) to 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.

Source: IEEE Transactions on Biomedical Engineering

DOI: 10.1109/tbme.2011.2158823

Authors: Zikuan Chen, V. Calhoun

Institutions: Mind Research Network, University of New Mexico

Language: English

Topic: Advanced MRI Techniques and Applications

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

Open Access status: green

Funder: National Institute of Biomedical Imaging and Bioengineering

Awards: A Unified Framework for Flexible Brain Image Analysis, Unified multivariate data-driven solutions for static and dynamic brain connectivity, Multivariate methods for identifying multitask/multimodal brain imaging biomarkers