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Development of coordinate definition algorithm for head laser tomography system

Nowadays, the Diffuse optical tomography (DOT) systems have been successfully designed and developed for getting better localization and image quality of the human brain. The Computerized Tomography (CT) or the Magnetic Resonance Imaging (MRI) assisted combined imaging modalities have been used for coordinate definition problems in head DOT imaging systems. In this work, the independent coordinate definition imaging modality for head biomedical imaging device is presented without using auxiliary traditional imaging tools. In this pre-work, MC (Monte Carlo) simulation data have been used to generate photon fluence rate distribution inside the tissue model and the coordinate definition has been determined. The source and detector coordinates are defined by using the models of anatomical shape of human head. The definition of laser source and photodetector positions are important to generate forward model weight matrix. The laser pencil beam transmitted from source position and received through detector positions are generating banana shape forward model weight matrix functions. The banana weight functions should be generated correctly. The photon fluence rate distributions are generated by using MC simulation output data and the minimum differences of mathematical method has been applied. The distances have been calculated to guess or pre-estimate the source-detector separations to be able to draw the human head boundaries. After human head shape modelled, the forward model photon fluence rate distributions are transferred through image reconstruction algorithm environment. The inverse problem solution algorithms are applied to recover the bloody voxels to reconstruct the bloody regions. The main purpose of this work is to develop a new method for defining the source and detector positions using just DOT device without using any other auxiliary traditional imaging by modalities.