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Automatic Segmentation Framework of Building Anatomical Mouse Model for Bioluminescence Tomography

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

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.
RPA Switzerland

Robotic Process Automation Switzerland


Tango Jona
Tangokurs Rapperswil-Jona