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Filtered maximum likelihood expectation maximization based global reconstruction for bioluminescence tomography |
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| Authors: | Defu Yang Lin Wang Dongmei Chen Chenggang Yan Xiaowei He Jimin Liang Xueli Chen |
| Affiliation: | 1.Institute of Information and Control,Hangzhou Dianzi University,Hangzhou,China;2.School of Information Sciences and Technology,Northwest University,Xi’an,China;3.College of Life Information Science and Instrument Engineering,Hangzhou Dianzi University,Hangzhou,China;4.Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, School of Life Science and Technology,Xidian University,Xi’an,China |
| Abstract: | The reconstruction of bioluminescence tomography (BLT) is severely ill-posed due to the insufficient measurements and diffuses nature of the light propagation. Predefined permissible source region (PSR) combined with regularization terms is one common strategy to reduce such ill-posedness. However, the region of PSR is usually hard to determine and can be easily affected by subjective consciousness. Hence, we theoretically developed a filtered maximum likelihood expectation maximization (fMLEM) method for BLT. Our method can avoid predefining the PSR and provide a robust and accurate result for global reconstruction. In the method, the simplified spherical harmonics approximation (SPN) was applied to characterize diffuse light propagation in medium, and the statistical estimation-based MLEM algorithm combined with a filter function was used to solve the inverse problem. We systematically demonstrated the performance of our method by the regular geometry- and digital mouse-based simulations and a liver cancer-based in vivo experiment. Graphical abstract The filtered MLEM-based global reconstruction method for BLT. |
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