Chinese Optics Letters, Volume. 18, Issue 1, 011701(2020)
Tikhonov-regularization-based projecting sparsity pursuit method for fluorescence molecular tomography reconstruction
Fig. 1. Paths of 3D examples for (a)
Fig. 2. (a) Map of the number of iterations needed before the last path could be considered linear for different eigenvalue pairs. (b) The blue curve denotes the maximum number of iterations for given
Fig. 3. Reconstruction results of the homogeneous experiment with an EED of 3 mm on the excitation plane by using (a) re-L1-NCG, (b) L1-StOMP, (c) IRL1, (d) zeroing-Tk, and (e) PrSP-Tk, respectively. (f) Profiles along the yellow dashed lines in (a)–(e).
Fig. 4. Reconstruction results of the homogeneous experiment with an EED of 1.5 mm on the excitation plane by using (a) re-L1-NCG, (b) L1-StOMP, (c) IRL1, (d) zeroing-Tk, and (e) PrSP-Tk, respectively. (f) Profiles along the yellow dashed lines in (a)–(e).
Fig. 5. Reconstruction results of the heterogeneous experiment with an EED of 4 mm on the excitation plane by using (a) IRL1 and (b) PrSP-Tk, respectively. (c) Profiles along the yellow dashed lines in (a) and (b).
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Jiaju Cheng, Jianwen Luo, "Tikhonov-regularization-based projecting sparsity pursuit method for fluorescence molecular tomography reconstruction," Chin. Opt. Lett. 18, 011701 (2020)
Category: Biomedical Optics
Received: Sep. 9, 2019
Accepted: Sep. 29, 2019
Published Online: Dec. 30, 2019
The Author Email: Jianwen Luo (luo_jianwen@tsinghua.edu.cn)