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Atlas-based head modeling and spatial normalization for high-density diffuse optical tomography: in vivo validation
Silvina L Ferradal1, Adam T Eggebrecht, Mahlega Hassanpour
1Department of Biomedical Engineering, Washington University, Whitaker Hall, One Brookings Dr., St. Louis, MO, 63130, USA; Department of Radiology, Washington University School of Medicine, East Bldg., 4525 Scott Ave, St. Louis, MO, 63110, USA.
Neuroimage
|April 13, 2013
Summary
Atlas-based head models enable accurate diffuse optical tomography (DOT) neuroimaging when MRI is unavailable. This approach provides viable individual head modeling for high-density DOT (HD-DOT) reconstructions, ensuring good image quality.
Area of Science:
- Neuroimaging
- Biomedical Optics
- Medical Physics
Background:
- Diffuse optical imaging (DOI) is an alternative neuroimaging tool when fMRI is not feasible.
- High-density diffuse optical tomography (HD-DOT) offers improved image quality and brain specificity over sparse DOI.
- Accurate HD-DOT image reconstruction requires realistic forward light modeling and spatial normalization.
Purpose of the Study:
- To assess the feasibility of using atlas-based forward light modeling and spatial normalization for HD-DOT.
- To evaluate the impact of atlas-based modeling on HD-DOT image quality at individual and group levels.
- To compare HD-DOT results with subject-specific MRI-based modeling and fMRI.
Main Methods:
- Developed and validated atlas-based forward light modeling and spatial normalization techniques for HD-DOT.
- Acquired simultaneous HD-DOT and fMRI data during visual evoked response tasks in five healthy subjects.
- Reconstructed HD-DOT images using both subject-specific MRI and registered atlas-based head models.
Main Results:
- Atlas-based HD-DOT reconstructions showed an average localization error of 2.7mm compared to subject-MRI DOT at the individual level.
- Localization errors relative to fMRI were 6.6mm (individual) and 6.1mm (group) for atlas-based HD-DOT.
- Group-level localization error for atlas DOT was 4.2mm relative to subject-MRI DOT.
Conclusions:
- Atlas-based forward light modeling is a feasible and viable approach for HD-DOT.
- This method provides adequate image quality for individual and group analyses when subject-specific anatomical imaging is unavailable.
- Atlas-based modeling offers a practical solution for advancing HD-DOT applications in neuroimaging research.
Keywords:
Anatomical atlasBrain mappingDOIDiffuse optical tomographyFOVFunctional magnetic resonance imagingGroup analysisHD-DOTHbO(2)HbRHbTNon-linear registrationSpatial normalizationdeoxyhemoglobindiffuse optical imagingfield of viewhigh-density diffuse optical tomographyoxyhemoglobintotal hemoglobin
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