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Proceedings Paper

Segmentation of magnetic resonance images to construct human head model for diffuse optical imaging
Author(s): Kazuki Kurihara; Hiroshi Kawaguchi; Yosuke Takahashi; Takayuki Obata; Eiji Okada
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Paper Abstract

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.

Paper Details

Date Published: 17 June 2011
PDF: 6 pages
Proc. SPIE 8088, Diffuse Optical Imaging III, 80880J (17 June 2011); doi: 10.1117/12.889813
Show Author Affiliations
Kazuki Kurihara, Keio Univ. (Japan)
Hiroshi Kawaguchi, National Institute of Radiological Sciences (Japan)
Yosuke Takahashi, Keio Univ. (Japan)
Takayuki Obata, National Institute of Radiological Sciences (Japan)
Eiji Okada, Keio Univ. (Japan)

Published in SPIE Proceedings Vol. 8088:
Diffuse Optical Imaging III
Andreas H. Hielscher; Paola Taroni, Editor(s)

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