https://doi.org/10.1140/epjd/s10053-024-00826-6
Regular Article - Optical Phenomena and Photonics
Fluorescence molecular tomographic image reconstruction based on the wavelet-Schur decomposition
School of Electronic and Information Engineering, Soochow University, 215006, Suzhou, China
Received:
18
November
2023
Accepted:
10
March
2024
Published online:
28
March
2024
In image reconstruction for fluorescence molecular tomography (FMT), solving matrix equations of large scale can result in high computational costs. In this article, a method based on the wavelet-Schur decomposition is developed. In this method, the reconstruction problem for FMT is solved via the Schur decomposition in the wavelet domain. The proposed method can sufficiently explore the features of wavelet and Schur decomposition. The performance of convergence for reconstruction can be improved based on the proposed method. The results confirm that our method can improve the computational efficiency of reconstruction and achieve the high accuracy of reconstruction.
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