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Automatic Segmentation Framework of Building Anatomical Mouse Model for Bioluminescence Tomography

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Author(s): Abdullah Alali

Journal: TELKOMNIKA : Indonesian Journal of Electrical Engineering
ISSN 2302-4046

Volume: 11;
Issue: 9;
Date: 2013;
Original page

Keywords: medical image processing | automatic image segmentation | anatomical mouse model

ABSTRACT
Bioluminescence tomography is known as a highly ill-posed inverse problem. To improve the reconstruction performance by introducing anatomical structures as a priori knowledge, an automatic segmentation framework has been proposed in this paper to extract the mouse whole-body organs and tissues, which enables to build up a heterogeneous mouse model for reconstruction of bioluminescence tomography. Finally, an in vivo mouse experiment has been conducted to evaluate this framework by using an X-ray computed tomography system and a multi-view bioluminescence imaging system. The findings suggest that the proposed method can realize fast automatic segmentation of mouse anatomical structures, ultimately enhancing the reconstruction performance of bioluminescence tomography.
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