Investigation of the relationship between position of brain activity and change in optical density for NIR imaging.
In: AnderssonEngels, S and Fujimoto, JG, (eds.)
PHOTON MIGRATION, DIFFUSE SPECTROSCOPY AND OPTICAL COHERENCE TOMOGRAPHY: IMAGING AND FUNCTIONAL ASSESSMENT.
(pp. 83 - 90).
SPIE-INT SOC OPTICAL ENGINEERING
Multi-channel NIR system can obtain the topographic image of brain activity. Since the image is reconstructed from the change in optical density measured with the source-detector pairs, it is important to reveal the volume of tissue sampled by each source-detector pair. In this study, the light propagation in three-dimensional adult head model is calculated by hybrid radiosity-diffusion method. The model is a layered slab which mimics the extra cerebral tissue (skin, skull), CSF and brain. The change in optical density caused by the absorption change in a small cylindrical region of 10 mm in diameter at various positions in the brain is calculated. The greatest change in optical density can be observed when the absorber is located in the middle of the source and detector. When the absorber is located just below the source or detector, the change in optical density is almost half of that caused by the same absorber in the midpoint. The light propagation in the brain is strongly affected by the presence of non-scattering layer and consequently sensitive region is broadly distributed on the brain surface.
|Title:||Investigation of the relationship between position of brain activity and change in optical density for NIR imaging|
|Event:||Conference on Photon Migration, Diffuse Spectroscopy, and Optical Coherence Tomography|
|Dates:||2000-07-06 - 2000-07-08|
|Keywords:||near-infrared imaging, diffusion equation, finite element method, hybrid radiosity-diffusion method, Photon Measurement Density Function, 3D model, FINITE-ELEMENT-METHOD, SCATTERING MEDIA, TISSUE, LIGHT, PROPAGATION, TRANSPORT, REGIONS, MODEL|
|UCL classification:||UCL > School of BEAMS > Faculty of Engineering Science
UCL > School of BEAMS > Faculty of Engineering Science > Computer Science
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