Abstract
Biomedical laser imaging technologies focuse light distribution in tissue media. Light distrubutes as photon energy in a volume voxel. Photon energies are generated as a forward model. In this work, forward model weight matrix functions are provided for a noncontact cranial laser tomography device. Laser tomography systems were designed to image brain injuries which are intracerebral bleeding cases in emergency clinics and ambulances. Continuous wave diffuse optical tomography (CWDOT) relies on diffuse photon migrations, which can be used to detect, localize and characterize optical and dynamic spatial abnormalities, in turbid media. This work focuses on improving a translational 2D to 3D method for CWDOT devices. The 2D Monte Carlo (MC) simulation generates forward model weight matrix functions for brain tissues. Forward model weight matrix functions are generated according to the mapping of photon energies from 2D MC simulation (ANSI C) to 3D image reconstruction environment (MATLAB™). Forward model concepts have potential for better image reconstruction and high blood volume localization performance.
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