Ba yesian estimation of optical properties of the human headvia 3D structural MRI

Alex H. Barnett, Joseph P. Culver, A. Gregory Sorensen, Anders M. Dale, David A. Boas

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Knowledge of the baseline optical properties of the tissues of the human head is essential for absolute cerebral oximetry, and for quantitative studies of brain activation. In this work we numerically model the utility of signals from a small 6-optode time-resolved diffuse optical tomographic apparatus for inferring baseline scattering and absorption coefficients of the scalp, skull and brain, when complete geometric information is available from magnetic resonance imaging (MRI). We use an optical model where MRI-segmented tissues are assumed homogeneous. We introduce a noise model capturing both photon shot noise and forward model numerical accuracy, and use Bayesian inference to predict errorbars and correlations on the measurments. We also sample from the full posterior distribution using Markov chain Monte Carlo. We conclude that ~ 106 detected photons are sufficient to measure the brain's scattering and absorption to a few percent. We present preliminary results using a fast multi-layer slab model, comparing the case when layer thicknesses are known versus unknown.

Original languageEnglish
Title of host publicationEuropean Conference on Biomedical Optics, ECBO 2003
PublisherOptica Publishing Group (formerly OSA)
Number of pages9
ISBN (Electronic)0819450111
StatePublished - 2003
EventEuropean Conference on Biomedical Optics, ECBO 2003 - Munich, Germany
Duration: Jun 22 2003 → …

Publication series

NameOptics InfoBase Conference Papers
ISSN (Electronic)2162-2701


ConferenceEuropean Conference on Biomedical Optics, ECBO 2003
Period06/22/03 → …


  • Bayesian
  • Diffuse optical tomography
  • magnetic resonance imaging
  • posterior


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