Fluorescence Diffuse Optical Tomography Reconstruction Based on Group Sparse Regularization

Xiaolin Li; Hongsun Fu; Bolin Song

doi:10.3788/LOP202158.0211002

Journals >Laser & Optoelectronics Progress >Volume 58 >Issue 2 >Page 0211002 > Article

Laser & Optoelectronics Progress
Vol. 58, Issue 2, 0211002 (2021)

Fluorescence Diffuse Optical Tomography Reconstruction Based on Group Sparse Regularization

Xiaolin Li, Hongsun Fu^*, and Bolin Song

Author Affiliations

School of Science, Dalian Maritime University, Dalian, Liaoning 116026, China

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DOI: 10.3788/LOP202158.0211002 Cite this Article Set citation alerts

Xiaolin Li, Hongsun Fu, Bolin Song. Fluorescence Diffuse Optical Tomography Reconstruction Based on Group Sparse Regularization[J]. Laser & Optoelectronics Progress, 2021, 58(2): 0211002 Copy Citation Text

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Fig. 1. FDOT image reconstruction results. (a) Simulated images; (b) noise images; (c) TV algorithm; (d) ART-SB algorithm; (e) SART algorithm; (f) GSR-SART algorithm

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Fig. 2. Performance of proposed algorithm under search window size. (a) PSNR; (b) RMSE

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Noiselevel	TV				ART-SB				SART				GSR-SART
Noiselevel	PSNR /dB		RMSE		PSNR /dB		RMSE		PSNR /dB		RMSE		PSNR /dB		RMSE
1%	19.97	0.10039		20.79		0.09134		21.76		0.08162		23.08		0.07026
3%	19.88	0.10139		20.77		0.09147		21.37		0.08542		23.04		0.07068
5%	19.84	0.10187		20.63		0.09298		21.05		0.08865		22.98		0.07101

Table 1. PSNR and RMSE of different algorithms at different noise levels

Xiaolin Li, Hongsun Fu, Bolin Song. Fluorescence Diffuse Optical Tomography Reconstruction Based on Group Sparse Regularization[J]. Laser & Optoelectronics Progress, 2021, 58(2): 0211002

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