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Related Concept Videos

Computed Tomography01:10

Computed Tomography

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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
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Subject-specific information enhances spatial accuracy of high-density diffuse optical tomography.

Sruthi Srinivasan1, Deepshikha Acharya1, Emilia Butters1,2

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Accurate brain imaging with functional near-infrared spectroscopy (fNIRS) requires precise optode placement. Subject-specific head shapes cause significant variations, impacting cortical region analysis and highlighting the need for individualized fNIRS array registration.

Keywords:
cortical parcellationdiffuse optical tomographyfunctional near-infrared spectroscopyimage reconstructionoptical neuroimaging

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Area of Science:

  • Neuroimaging
  • Biomedical Engineering
  • Cognitive Neuroscience

Background:

  • Functional near-infrared spectroscopy (fNIRS) maps brain activation via cerebral hemodynamics.
  • Accurate quantification relies on precise localization of light sources and detectors (optodes) on the scalp.
  • Inter-subject variations in head size and shape affect optode placement and targeted cortical regions, potentially skewing study conclusions.

Purpose of the Study:

  • To investigate inter-subject variability in optode positioning for high-density diffuse optical tomography (HD-DOT) arrays.
  • To compare the accuracy of 3D image reconstruction using subject-specific versus generic optode locations.
  • To emphasize the necessity of subject-specific optode registration for reliable fNIRS group analysis.

Main Methods:

  • Utilized high-density diffuse optical tomography (HD-DOT) on ten participants in a resting state.
  • Employed photogrammetry to determine subject-specific optode locations.
  • Compared cortical parcel sensitivity between subject-specific and generic optode positioning.

Main Results:

  • Demonstrated significant inter-subject variability in cortical parcel sampling by equivalent HD-DOT channels.
  • Identified substantial optode localization errors (median 27.4 mm) when using generic versus subject-specific locations, particularly in the motor cortex.
  • Revealed large differences in parcel sensitivity due to localization inaccuracies.

Conclusions:

  • Subject-specific optode localization is crucial for accurate fNIRS studies.
  • Generic optode placements introduce significant spatial errors, affecting group-level analysis.
  • Individualized optode registration is essential for reliable exploration of specific cortical regions using wearable NIRS.