The brain activation image obtained by diffuse optical tomography (DOT) is obtained by solving inverse problem using
the spatial sensitivity profile (SSP). The SSP can be obtained from the analysis of the light propagation using threedimensional
head models. The head model is based upon segmented magnetic resonance (MR) image and there are
several types of software based on binarization for segmentation of MR head images. We segmented superficial tissues
which effect the light propagation in human head from MR images acquired with FATSAT and FIESTA pulse sequences
by using region growing algorithm and morphological operation to facilitate the construction of the individual head
models for DOT. The pixel intensity distribution of these images has appropriate characteristics to extract the superficial
tissues by using algorithm based on binarization. The result of extraction was compared with the extraction from
T2-weighted image which is commonly used to extract superficial tissues. The result of extraction from FATSAT or
FIESTA image agree well with ground truth determined by manual segmentation.
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