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[A review of methods for correction of artifacts in functional MRI]
1Image Tech Research Center, Southeast University, Nanjing.
Abstract:
There are many kinds of artifacts in image series of functional MRI, such as head motion artifacts, physiological motion artifacts, blood flow artifacts, ghost artifacts and susceptibility artifacts. These artifacts which are unassociated with the neural activities, have so severe affects on the analysis of functional MRI data that they not only reduce the sensibility and reliability of functional MRI, but also make the detecting, locating and visualizing of the functional active regions more complicated. The mechanism and the effect of artifacts in functional MRI are discussed here, the methods of correcting artifacts are reviewed, and research prospects are discussed too.
Insights
Functional MRI (fMRI) data analysis is complicated by various artifacts, including head motion and susceptibility artifacts. This review discusses artifact mechanisms, correction methods, and future research directions for improved fMRI reliability.
Area of Science:
- Neuroimaging
- Biomedical Engineering
- Signal Processing
Context:
- Functional Magnetic Resonance Imaging (fMRI) is a key neuroimaging technique.
- Artifacts significantly compromise the integrity of fMRI data.
- Understanding and mitigating these artifacts is crucial for accurate brain activity mapping.
Purpose:
- To review the mechanisms and effects of common artifacts in fMRI.
- To survey existing methods for artifact correction in fMRI.
- To discuss future research directions in fMRI artifact management.
Summary:
- fMRI data is susceptible to various artifacts, including head motion, physiological motion, blood flow, ghosting, and susceptibility artifacts.
- These non-neural artifacts reduce fMRI sensitivity and reliability, complicating the detection, localization, and visualization of active brain regions.
- The review covers artifact origins, impacts, correction strategies, and future research avenues.
Impact:
- Improved understanding of fMRI artifacts enhances data quality and interpretation.
- Effective artifact correction methods increase the reliability and sensitivity of fMRI studies.
- Advancements in artifact management will lead to more accurate brain function mapping and clinical applications.
