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Refinement of optical imaging spectroscopy algorithms using concurrent BOLD and CBV fMRI.

Aneurin J Kennerley1, Jason Berwick, John Martindale

  • 1Centre for Signal Processing in Neuroimaging and Systems Neuroscience (SPiNSN), Department of Psychology, University of Sheffield, Western Bank, Sheffield, UK. A.J.Kennerley@shef.ac.uk

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This study refines optical imaging spectroscopy (OIS) algorithms using functional magnetic resonance imaging (fMRI) data. The improved method enhances the quantitative accuracy of haemodynamic measurements in the brain.

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Area of Science:

  • Neuroimaging
  • Biomedical Optics
  • Physiological Measurement

Background:

  • Optical imaging spectroscopy (OIS) is a valuable tool for studying brain activity.
  • Current OIS algorithms often rely on simplified models of light transport in tissue.
  • Integrating functional magnetic resonance imaging (fMRI) data can provide more detailed physiological information.

Purpose of the Study:

  • To enhance the quantitative accuracy of OIS by incorporating three-dimensional (3D) fMRI data.
  • To develop a more sophisticated tissue model for OIS analysis using fMRI-derived parameters.
  • To improve the measurement of haemodynamic responses in the brain.

Main Methods:

  • Utilized 3D functional magnetic resonance imaging (fMRI) blood oxygenation level dependent (BOLD) and cerebral blood volume (CBV) signals.
  • Developed a 5-layer heterogeneous tissue model parameterized by cortical depth profiles of BOLD and CBV changes.
  • Employed Monte Carlo simulations (MCS) for light transport modeling within the OIS algorithm.
  • Inverted MCS of extra-vascular MR signal attenuation to derive deoxy-haemoglobin (Hbr) profiles.

Main Results:

  • Demonstrated significant improvement in the quantitative accuracy of haemodynamic measurements using the new heterogeneous tissue model.
  • The refined OIS algorithm showed superior performance compared to the original homogeneous tissue model.
  • Validation was performed using concurrent OIS and fMRI data across various stimulus durations.

Conclusions:

  • Integrating 3D fMRI data into OIS analysis significantly enhances the accuracy of haemodynamic measurements.
  • The developed heterogeneous tissue model provides a more realistic representation of light transport in cortical tissue.
  • This refined OIS approach offers improved capabilities for quantitative neuroimaging research.