Bioluminescence tomography based on bilateral weight Laplace method for in vivo morphological imaging of glioma

Yuan Gao; Kun Wang; Hui Meng; Yu An; Shixin Jiang; Jie Tian

doi:10.1117/12.2508285

4 March 2019 Bioluminescence tomography based on bilateral weight Laplace method for in vivo morphological imaging of glioma

Yuan Gao, Kun Wang, Hui Meng, Yu An, Shixin Jiang, Jie Tian

Author Affiliations +

Proceedings Volume 10881, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XVII; 108811J (2019) https://doi.org/10.1117/12.2508285
Event: SPIE BiOS, 2019, San Francisco, California, United States

Abstract

The development of Bioluminescence Tomography (BLT) has allowed the quantitative three dimension (3D) whole body imaging and non-invasive study of biological behavior of cancer. However, the ill-posed problem of BLT reconstruction limits the quality of reconstruction result. In this work, we proposed a Bilateral Weight Laplace (BWL) method that utilizes a non-local Laplace regularization to improve the imaging quality of bioluminescence tomography reconstruction. The non-local Laplace regularization was constructed by spatial weight and range weight to penalize the neighborhood-variance of reconstructed source density in both spatial and range domain. To evaluate the performance of BWL method, both dual-source BLT reconstruction experiment in simulation data and in vivo BLT reconstruction in orthotopic glioma mouse model were designed. Furthermore, fast iterative shrinkage/threshold (FIST) method and Laplace method were utilized to compare with BWL. Both dual-source experiment and in vivo experiment demonstrate that the construction results of BWL method provide more accurate tumor position (BCE = 0.37mm in dual-source experiment) and better tumor morphological information.

Conference Presentation

Citation Download Citation

Yuan Gao, Kun Wang, Hui Meng, Yu An, Shixin Jiang, and Jie Tian "Bioluminescence tomography based on bilateral weight Laplace method for in vivo morphological imaging of glioma", Proc. SPIE 10881, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XVII, 108811J (4 March 2019); https://doi.org/10.1117/12.2508285

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