DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Science, Engineering and Technology(IJASEAT)-IJASEAT |
 Journal Home Volume Issue |
||||||||
Issue |
Volume-4,Issue-4, Spl. Iss-2 ( Dec, 2016 ) | |||||||||
Paper Title |
An Automation Segmentation Framework of Building an Anatomical Mouse Model For Bioluminescence Tomography | |||||||||
Author Name |
Abdullah.M.F.Al-Ali, Abdallah Al-Tahan Al-Nu'aimi | |||||||||
Affilition |
Assistant Professor, Faculty of Science and Information Technology Al-Isra University Amman, Jordan | |||||||||
Pages |
111-114 | |||||||||
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. Keywords- Medical image processing, automatic image segmentation, anatomical mouse model, bioluminescence tomography. | |||||||||
| View Paper | ||||||||||
