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A finite element mesh aggregating approach to multiple-source reconstruction in bioluminescence tomography
Jingjing Yu1, Fang Liu, L C Jiao
1School of Computer Science and Technology, Xidian University, Xi'an 710071, China.
International Journal of Biomedical Imaging
|December 7, 2011
Summary
This study introduces a novel finite element mesh aggregating approach for reconstructing images of multiple internal bioluminescence sources. The method adaptively determines source number and improves image quality without prior knowledge, even for sources with varying densities.
Area of Science:
- Biomedical Imaging
- Computational Science
Background:
- Reconstructing images of multiple internal bioluminescence sources is challenging.
- Existing methods often require prior knowledge of the number of sources.
Purpose of the Study:
- To develop a novel finite element mesh aggregating approach for reconstructing multiple bioluminescence sources.
- To improve the quality of reconstructed images and adaptively determine the number of sources.
Main Methods:
- Utilizing a finite element mesh aggregating approach.
- Exploiting spatial structure of nodes and aggregation of density distribution.
- Integrating the strategy into regularization-based reconstruction processes.
Main Results:
- Successfully reconstructed images of multiple internal bioluminescence sources.
- Adaptively determined the number of sources without a priori knowledge.
- Improved image reconstruction quality, even for sources with differing densities or powers.
Conclusions:
- The proposed finite element mesh aggregating approach effectively reconstructs multiple bioluminescence sources.
- The method eliminates the need for prior source number information.
- It offers robust performance for sources with significant variations in density or power.
