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3 April 2023 Multi-source bioluminescene tomography reconstruction approach base on subspace decision
Xiao Wei, Hongbo Guo, Xuelei He, Jingjing Yu, Xiaowei He
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Proceedings Volume 12464, Medical Imaging 2023: Image Processing; 124643P (2023) https://doi.org/10.1117/12.2653338
Event: SPIE Medical Imaging, 2023, San Diego, California, United States
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Abstract
Bioluminescence tomography (BLT) reconstruction is an ill-posed problem. A class of strategy based on the permissible region (PR) reduces the ill-posed by reducing the space. However, in multi-objective reconstruction, the strategy is challenging to fit the sources of different positions. In this study, a subspace decision (SD) method is proposed, which transforms the traditional single permissible region into multiple spatially continuous subspaces by clustering, and performs spatial shrinkage optimization for each of them. In addition, a plug-and-play sliding single polyline module is introduced to analyze and cluster the reconstruction results each time to obtain the number and distribution of subspaces contained in the results. SD method does not rely on any specific reconstruction or clustering algorithm, so it has great flexibility. Experiment results show that the SD approach can more accurately obtain the spatial distribution information of different numbers of sources distributed in different locations and ensure the quality of multi-source BLT reconstruction. Keywords: Bioluminescence Tomography, Inverse Problem, Subspace, Clustering, Permissible Region.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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Xiao Wei, Hongbo Guo, Xuelei He, Jingjing Yu, and Xiaowei He "Multi-source bioluminescene tomography reconstruction approach base on subspace decision", Proc. SPIE 12464, Medical Imaging 2023: Image Processing, 124643P (3 April 2023); https://doi.org/10.1117/12.2653338
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KEYWORDS
Reconstruction algorithms
Bioluminescence
Tomography
Tumors
Numerical simulations
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