High Power Laser and Particle Beams, Volume. 36, Issue 9, 096004(2024)
Coded-aperture image reconstruction algorithm based on maximum a posteriori estimation
Fig. 2. Point spread function and neighbourhood weight coefficients of the potential function at 3 times the samples
Fig. 3. Too small a neighbourhood range results in lower hotspot values
Fig. 4. Schematic diagram of the penalty coefficient calculation method
Fig. 5. Schematic and photograph of the coded-aperture gamma camera
Fig. 9. MLEM and MAP reconstruction images of 22Na point source with increasing iterations
Fig. 10. 2D slices of MLEM and MAP reconstructed images for a 22Na point source with increasing iterations
Fig. 11. Comparison of the mean gradient values and CNRs of reconstructed images using MLEM and MAP algorithms at 300, 500, 800, and
Fig. 12. Comparison of the reconstruction results of multipoint 22Na sources using MLEM, 3×3 neighbourhood MAP and 5×5 neighbourhood MAP algorithms with the same parameters (
Fig. 13. 2D slices of the MLEM reconstructed image and the MAP reconstructed image when using the L1, L2, and Huber potential functions, respectively, for the same radiation source
Fig. 14. Comparison of the effectiveness between the MLEM and the MAP algorithms when imaging at long distances
Fig. 15. Comparison of the effectiveness between the MLEM and MAP algorithms in a confined environment with disturbance sources
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Yurui Qin, Balin Zhu, Zhonghai Wang, Rong Zhou, Chaowen Yang. Coded-aperture image reconstruction algorithm based on maximum a posteriori estimation[J]. High Power Laser and Particle Beams, 2024, 36(9): 096004
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Received: May. 8, 2024
Accepted: Aug. 13, 2024
Published Online: Oct. 15, 2024
The Author Email: Wang Zhonghai (zhonghaiwang@scu.edu.cn)