Estimation of point spread function for scattering effect on cortical tissue image

Motoshi Watanabe, Kentaro Yokoyama, Eiji Okada

Research output: Contribution to journalConference article

Abstract

Optical imaging of an exposed cortex for brain function measurement is an attractive method for both clinical and physiological investigations. Multi-spectral imaging of the exposed cortical tissue enables measuring the activity-dependent changes in oxy- and deoxy haemoglobin independently. Because light propagation in the cortical tissue strongly depends upon wavelength, the blurring by a scattering effect on multi-spectral images depends upon wavelength as well. It is important for more accurate measurement to correct this wavelength-dependent blurring in the multi-spectral images of the exposed cortex. In this study, the relative point spread functions which represent the difference in blurring by wavelength were predicted from the multi-spectral images of a blood vessel in the cortical tissue. The multi-spectral images of the cortical model are calculated by Monte Carlo simulation and wavelength-dependent point spread functions are estimated from the cross section of the blood vessel in the images. The tendency of the wavelength-dependence of relative point spread functions is almost the same as that of the point spread functions predicted from the light propagation in the cortical model. The relative point spread functions estimated from wide blood vessels are broader than those estimated from a narrow blood vessel.

Original languageEnglish
Pages (from-to)239-248
Number of pages10
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5138
DOIs
Publication statusPublished - 2003 Jan 1
EventPhoton Migration and Diffuse-Light Imaging - Munich, Germany
Duration: 2003 Jun 222003 Jun 23

Keywords

  • Blurring
  • Exposed cortex
  • Multi-spectral image
  • Point spread function

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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