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Frontiers in Neuroenergetics ·

Volume 4 - 2012 | https://doi.org/10.3389/fnene.2012.00006

Image Quality Analysis of High-Density Diffuse Optical Tomography Incorporating a Subject-Specific Head Model

  • Yuxuan Zhan1
  • Adam T. Eggebrecht2
  • Joseph P. Culver2
  • Hamid Dehghani1*corresponding author
  1. 11 School of Computer Science, University of Birmingham Birmingham, UK
  2. 22 Department of Radiology, Washington University School of Medicine St. Louis, MO, USA
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Abstract

High-density diffuse optical tomography (HD-DOT) methods have shown significant improvement in localization accuracy and image resolution compared to traditional topographic near infrared spectroscopy of the human brain. In this work we provide a comprehensive evaluation of image quality in visual cortex mapping via a simulation study with the use of an anatomical head model derived from MRI data of a human subject. A model of individual head anatomy provides the surface shape and internal structure that allow for the construction of a more realistic physical model for the forward problem, as well as the use of a structural constraint in the inverse problem. The HD-DOT model utilized here incorporates multiple source-detector separations with continuous-wave data with added noise based on experimental results. To evaluate image quality we quantify the localization error and localized volume at half maximum (LVHM) throughout a region of interest within the visual cortex and systematically analyze the use of whole-brain tissue spatial constraint within image reconstruction. Our results demonstrate that an image quality with less than 10 mm in localization error and 1000 m 3 in LVHM can be obtained up to 13 mm below the scalp surface with a typical unconstrained reconstruction and up to 18 mm deep when a whole-brain spatial constraint based on the brain tissue is utilized.

Keywords

References

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Citation

Zhan, Y., et al. (2012). Image Quality Analysis of High-Density Diffuse Optical Tomography Incorporating a Subject-Specific Head Model. Frontiers in Neuroenergetics, Volume 4. https://doi.org/
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Volume
4 - 2012

Copyright

Copyright © 2012 Zhan, Eggebrecht, Culver and Dehghani.

License: http://www.frontiersin.org/licenseagreement

*Correspondence: Hamid Dehghani

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